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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. 16200
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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
    THER
    -0.83
    ilation
    -0.79
    moving
    -0.78
    ©¶æ
    -0.77
    atever
    -0.76
    pler
    -0.75
    sure
    -0.75
    ylon
    -0.72
    IDES
    -0.72
    appointed
    -0.72
    POSITIVE LOGITS
     quote
    0.89
     landmarks
    0.89
     quotes
    0.84
     surname
    0.82
     Circus
    0.77
     quotations
    0.75
     quotation
    0.74
     unsolved
    0.74
     names
    0.71
     bearer
    0.70
    Activations Density 0.065%

    No Known Activations