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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 15162
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    Explanations

    information related to American football player statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and references associated with statistics or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Eag
    -0.97
    HT
    -0.93
     Hacker
    -0.93
     Hou
    -0.91
     Goose
    -0.90
     Goat
    -0.89
     HT
    -0.88
     Duck
    -0.88
     Wad
    -0.87
     Ship
    -0.85
    POSITIVE LOGITS
     Blanc
    0.90
    1990
    0.90
    VAL
    0.90
     92
    0.90
    90
    0.90
     1990
    0.88
    condition
    0.88
    ol
    0.88
    olate
    0.87
    vale
    0.87
    Activations Density 0.422%

    No Known Activations