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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. 7-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gaard
    -1.09
    stock
    -0.87
    bots
    -0.83
    artifacts
    -0.81
    avers
    -0.81
    zona
    -0.80
    hiro
    -0.79
    Interstitial
    -0.78
    hower
    -0.78
    cent
    -0.77
    POSITIVE LOGITS
    []
    0.89
     (*
    0.87
    acters
    0.73
    ptr
    0.72
     []
    0.69
    Ptr
    0.68
     liter
    0.68
     literal
    0.66
     __
    0.63
    Value
    0.62
    Activations Density 0.039%

    No Known Activations