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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. 8-RES-JB
    11. 10933
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    Explanations

    phrases related to taking action or giving instructions

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or statistics related to various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    etimes
    -0.71
     pri
    -0.66
     volunte
    -0.64
    yden
    -0.63
    Tes
    -0.63
     helicop
    -0.61
     stret
    -0.61
    ws
    -0.61
     convict
    -0.61
    alach
    -0.61
    POSITIVE LOGITS
     Explicit
    0.94
    Ability
    0.82
     Ibid
    0.79
    ï¸ı
    0.78
     Clean
    0.75
    inki
    0.70
    Õ
    0.68
     Languages
    0.68
    jamin
    0.67
    redits
    0.66
    Activations Density 0.037%

    No Known Activations