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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. 4-RES-JB
    11. 4677
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    INDEX
    Explanations

    mentions referring to specific individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    words associated with political figures and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ansk
    -0.88
    cone
    -0.79
    cular
    -0.73
    chery
    -0.72
    asers
    -0.71
    rals
    -0.71
    henko
    -0.69
    htaking
    -0.68
    ossom
    -0.67
     freedoms
    -0.65
    POSITIVE LOGITS
     Kejriwal
    0.92
    ocument
    0.82
    Redditor
    0.74
    roid
    0.72
    irect
    0.71
    igenous
    0.69
     thence
    0.68
    rio
    0.68
    ragon
    0.68
    robe
    0.68
    Activations Density 0.022%

    No Known Activations