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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. 1-RES-JB
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    INDEX
    Explanations

    mentions of politicians with a negative connotation

    oai_token-act-pair · gpt-3.5-turbo

    references to politicians and their actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    val
    -0.75
    gged
    -0.74
    Flight
    -0.72
    --+
    -0.70
    ostic
    -0.70
    zig
    -0.70
    urse
    -0.69
    tto
    -0.69
     Condition
    -0.69
    early
    -0.68
    POSITIVE LOGITS
     mathemat
    0.96
    jriwal
    0.89
     policymakers
    0.89
     correctness
    0.87
     politicians
    0.85
     appoint
    0.83
     shenan
    0.83
     lawy
    0.82
     outsider
    0.81
    interstitial
    0.80
    Activations Density 0.013%

    No Known Activations