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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. 11-RES-JB
    11. 13693
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    INDEX
    Explanations

    phrases related to interviews or conversations between individuals

    oai_token-act-pair · gpt-3.5-turbo

    quotes or dialogue from individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nuns
    -0.81
     nonviolent
    -0.80
     boosters
    -0.79
     clerks
    -0.76
     enrollment
    -0.72
     enrol
    -0.71
     lobbyists
    -0.71
     taxpayers
    -0.71
     lifes
    -0.70
     incumb
    -0.69
    POSITIVE LOGITS
     "[
    1.19
    "[
    1.17
    advertising
    1.07
    Asked
    1.03
    Speaking
    1.03
     "'
    1.00
     Speaking
    0.99
    Laughs
    0.98
    Talking
    0.97
    Exit
    0.96
    Activations Density 0.492%

    No Known Activations