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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
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    oai_token-act-pair · gpt-3.5-turbo
    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
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    Negative Logits
    gio
    -0.72
    sov
    -0.68
    imer
    -0.63
    yip
    -0.62
    uliffe
    -0.62
    etts
    -0.60
    tsky
    -0.60
    ingers
    -0.59
    ndum
    -0.59
    lder
    -0.59
    POSITIVE LOGITS
    ctory
    0.70
    thumbnails
    0.68
    Shipping
    0.67
    Beginning
    0.67
    VPN
    0.66
    Phase
    0.65
    DS
    0.61
    ainment
    0.60
    SPA
    0.59
    Charges
    0.59
    Activations Density 0.019%

    No Known Activations