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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. 2537
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    Explanations

    mentions of specific locations or establishments

    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
    Not in Any Lists

    No Comments

    Negative Logits
    icip
    -0.72
    theless
    -0.72
     towards
    -0.70
    ledge
    -0.69
     detach
    -0.69
     whilst
    -0.69
     again
    -0.66
    ogical
    -0.66
    perse
    -0.65
    [_
    -0.64
    POSITIVE LOGITS
     Clintons
    1.03
     aforementioned
    1.02
     latter
    0.95
    ses
    0.89
     infamous
    0.85
     Declaration
    0.83
     brunt
    0.82
     Dalai
    0.79
     original
    0.78
     deceased
    0.78
    Activations Density 0.407%

    No Known Activations