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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. 10-RES-JB
    11. 21487
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    numerical references, particularly dates and specific line indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Ħ¢
    -0.72
     protestors
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     undermin
    -0.53
     nonviolent
    -0.52
     tremend
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     administ
    -0.52
     additive
    -0.52
    POSITIVE LOGITS
    ↵
    1.50
    <|endoftext|>
    1.16
    SPONSORED
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    0.72
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    0.63
    ↵Âł
    0.61
    FORE
    0.60
     }}
    0.59
    eki
    0.58
    Activations Density 0.149%

    No Known Activations