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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. 10-RES-JB
    11. 19009
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    INDEX
    Explanations

    frequent references to specific names or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and references to dolls

    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
    rament
    -0.89
    gers
    -0.87
    AMI
    -0.82
    riors
    -0.80
    uld
    -0.74
    lar
    -0.74
    raltar
    -0.71
    rid
    -0.71
    arching
    -0.70
    lopp
    -0.69
    POSITIVE LOGITS
    ipop
    0.85
    BACK
    0.71
    yp
    0.67
    yk
    0.67
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.66
    phia
    0.64
     skirt
    0.61
     Kers
    0.60
    oning
    0.60
     skirts
    0.60
    Activations Density 0.123%

    No Known Activations