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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. 5076
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    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
     Cthulhu
    -0.79
     "$:/
    -0.75
     Kel
    -0.74
     misunder
    -0.72
     Akin
    -0.71
     tha
    -0.70
     Faust
    -0.70
     Shepard
    -0.70
    ĸļ
    -0.69
     guiActiveUnfocused
    -0.69
    POSITIVE LOGITS
    untary
    0.92
    ices
    0.83
    ants
    0.79
    erv
    0.79
    ances
    0.78
    ition
    0.78
    ruption
    0.77
    otion
    0.77
    ommod
    0.75
    ainers
    0.75
    Activations Density 0.234%

    No Known Activations