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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. 2279
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    Explanations

    quotations in sentences

    oai_token-act-pair · gpt-3.5-turbo

    quoted speech or dialogue in the text

    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
    zon
    -0.78
    \.
    -0.77
    NetMessage
    -0.76
    icter
    -0.76
    ãĤ¦ãĤ¹
    -0.74
    ĺħ
    -0.71
    entimes
    -0.71
    skill
    -0.69
    otin
    -0.69
    ĸļ
    -0.69
    POSITIVE LOGITS
     spokeswoman
    1.36
     spokesman
    1.34
     spokesperson
    1.23
     officials
    1.19
     Superintendent
    1.12
     spokes
    1.04
     department
    1.04
     Chief
    1.03
     Commissioner
    1.01
     Acting
    0.99
    Activations Density 0.307%

    No Known Activations