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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. 7242
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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
    downs
    -0.90
    down
    -0.82
     Sands
    -0.74
    DOWN
    -0.73
     Colt
    -0.69
     Gott
    -0.68
     Osw
    -0.66
    Down
    -0.65
     Down
    -0.65
    Magikarp
    -0.64
    POSITIVE LOGITS
    uador
    1.27
    stasy
    0.98
    ologically
    0.98
    ipel
    0.97
    resp
    0.96
    rolet
    0.96
    entric
    0.95
    onomic
    0.93
    ocide
    0.92
    redits
    0.91
    Activations Density 0.034%

    No Known Activations