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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. 9-RES-JB
    11. 17251
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to definitions and the concept of defining terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÃĥÃĤ
    -0.71
    atu
    -0.69
    lication
    -0.69
    iem
    -0.64
    cific
    -0.64
    idges
    -0.62
     Moves
    -0.61
    aldi
    -0.60
     Janeiro
    -0.59
    reau
    -0.59
    POSITIVE LOGITS
     "
    0.93
     '
    0.88
     acceptable
    0.87
     permissible
    0.86
     ``
    0.82
     insanity
    0.80
     plur
    0.79
     ''
    0.78
     \"
    0.75
     ",
    0.74
    Activations Density 0.260%

    No Known Activations