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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. 9-RES-JB
    11. 5193
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    heed
    -0.76
    Ń·
    -0.69
    omsday
    -0.69
    eches
    -0.67
    gap
    -0.65
    abouts
    -0.65
    seek
    -0.64
    borg
    -0.64
    folk
    -0.63
     reckoned
    -0.63
    POSITIVE LOGITS
    ities
    0.93
     email
    0.92
     Email
    0.85
    ity
    0.81
     Bagg
    0.81
     caption
    0.80
    Email
    0.78
    itable
    0.76
     Emails
    0.74
    ITY
    0.74
    Activations Density 0.024%

    No Known Activations