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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. 2603
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    Explanations

    descriptions related to the jaw, such as mentions of jaw dropping or jaw-related actions

    oai_token-act-pair · gpt-3.5-turbo

    references to jaws and related terms

    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
     Blackwell
    -0.75
     Prosper
    -0.73
    isle
    -0.71
    Constructed
    -0.69
    istant
    -0.69
     Investors
    -0.69
     Scotia
    -0.64
    mitt
    -0.64
     Artemis
    -0.63
    fell
    -0.62
    POSITIVE LOGITS
    bone
    1.23
    bones
    1.12
    Bone
    0.91
     jaw
    0.89
    line
    0.84
    piece
    0.83
    liners
    0.82
    oly
    0.81
     bone
    0.81
    lines
    0.79
    Activations Density 0.006%

    No Known Activations