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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. 3-RES-JB
    11. 6278
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    Explanations

    symbols and characters that typically don't appear in regular text

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or symbol within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     detached
    -0.75
     comprom
    -0.73
     kindergarten
    -0.65
     Mirage
    -0.64
     Marble
    -0.58
     mosqu
    -0.58
     guiActiveUnfocused
    -0.58
    jri
    -0.57
    wagen
    -0.57
     semblance
    -0.57
    POSITIVE LOGITS
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    ¸
    0.87
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    0.84
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    Activations Density 0.152%

    No Known Activations