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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. 12063
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    Explanations

    transition words indicating sequence or order

    oai_token-act-pair · gpt-3.5-turbo

    indicators of sequencing or enumeration in 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
    Not in Any Lists

    No Comments

    Negative Logits
    oes
    -0.97
    idan
    -0.90
    ger
    -0.78
     League
    -0.73
     speech
    -0.68
    icles
    -0.68
    "},"
    -0.67
    lines
    -0.67
     Doctrine
    -0.66
    le
    -0.66
    POSITIVE LOGITS
     guiActiveUn
    0.90
     conclud
    0.82
     Firstly
    0.77
    ignty
    0.76
     suppose
    0.74
    andom
    0.74
    ÃŁ
    0.71
    ilitary
    0.70
    theless
    0.70
    uckland
    0.70
    Activations Density 0.010%

    No Known Activations