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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. 6-RES-JB
    11. 823
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical terms and concepts related to patents, resources, and variables in a context that suggests analysis or discussion of systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ;;;;
    -0.76
    outube
    -0.76
    ?????-
    -0.69
    thood
    -0.69
    abwe
    -0.68
    ilaterally
    -0.66
    itored
    -0.63
    ovember
    -0.62
    Ô
    -0.61
    ecause
    -0.61
    POSITIVE LOGITS
    iest
    0.77
    hest
    0.75
     itself
    0.73
     portion
    0.72
    osphere
    0.71
     hasn
    0.69
     goes
    0.68
     cannot
    0.68
     hadn
    0.67
     disappears
    0.66
    Activations Density 0.641%

    No Known Activations