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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. 2543
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    Explanations

    locations or groups of people

    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
     reprinted
    -0.69
     reapp
    -0.62
    Ļ
    -0.60
    ï¸ı
    -0.59
    ķ
    -0.58
     Malays
    -0.55
    ãĤ´ãĥ³
    -0.55
     Quarterly
    -0.55
    adian
    -0.54
    OLOG
    -0.54
    POSITIVE LOGITS
     danger
    0.97
     attendance
    0.93
    jured
    0.90
     jeopardy
    0.88
     charge
    0.84
    aud
    0.82
     vicinity
    0.79
     relation
    0.78
     custody
    0.77
     possession
    0.77
    Activations Density 0.314%

    No Known Activations