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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
    11. 14376
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    Explanations

    proper nouns, specifically names

    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
    ngth
    -0.84
    sie
    -0.80
    grades
    -0.79
    Ĥª
    -0.76
    jriwal
    -0.74
    graded
    -0.72
    LOAD
    -0.72
    GoldMagikarp
    -0.71
    ij士
    -0.71
    ramid
    -0.71
    POSITIVE LOGITS
     Luther
    1.48
    ique
    0.94
     Sheen
    0.86
    endez
    0.85
    etti
    0.81
    ias
    0.78
    ucci
    0.78
     Martin
    0.76
    icity
    0.73
    abilia
    0.73
    Activations Density 0.022%

    No Known Activations