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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. 7257
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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
    grass
    -0.71
     Nieto
    -0.70
     Guinness
    -0.70
     Granger
    -0.69
     slack
    -0.67
     removable
    -0.64
     CPR
    -0.64
     Totem
    -0.64
     daylight
    -0.63
     Schumer
    -0.62
    POSITIVE LOGITS
    senal
    1.27
    ansom
    1.22
    ICH
    1.20
    haps
    1.19
    outine
    1.17
    outing
    1.15
    ifles
    1.14
    ascal
    1.13
    abbit
    1.11
    andal
    1.11
    Activations Density 0.037%

    No Known Activations