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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. 4-RES-JB
    11. 15680
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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
    EY
    -0.82
     Suc
    -0.71
     Luther
    -0.70
    ertodd
    -0.69
     Bastard
    -0.67
     Phant
    -0.65
     trave
    -0.63
    heastern
    -0.63
    ZA
    -0.61
    OME
    -0.60
    POSITIVE LOGITS
    itzer
    0.95
    itudinal
    0.92
    enc
    0.79
    itude
    0.79
    wings
    0.78
    ough
    0.77
    url
    0.76
    guards
    0.74
    falls
    0.73
    acker
    0.72
    Activations Density 0.009%

    No Known Activations