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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 6796
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    INDEX
    Explanations

    mentions of readers or audience in a text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of readers and their engagement with the content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.70
    --+
    -0.65
     drums
    -0.64
     Winning
    -0.63
     restart
    -0.61
    ayne
    -0.61
    eton
    -0.60
    uras
    -0.60
    ulic
    -0.57
     Skull
    -0.57
    POSITIVE LOGITS
    hip
    1.73
    hips
    1.20
    uggest
    1.15
    20439
    0.84
    iences
    0.82
    boy
    0.81
     Digest
    0.81
    itarian
    0.80
    boys
    0.79
    pace
    0.77
    Activations Density 0.046%

    No Known Activations