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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 296
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    Explanations

    dates and events mentioned in historical contexts

    oai_token-act-pair · gpt-3.5-turbo

    various forms of end punctuation in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.77
    ãĥ¼ãĥĨ
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     nearby
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     seams
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     therap
    -0.65
     nearest
    -0.64
     Franch
    -0.63
     patri
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     duly
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    ãĥ¼ãĥ³
    -0.62
    POSITIVE LOGITS
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    edit
    1.06
    !]
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    emphasis
    1.02
    :]
    0.99
    src
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    ](
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    Activations Density 0.036%

    No Known Activations