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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. 3-RES-JB
    11. 225
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    INDEX
    Explanations

    proper nouns related to names or locations, possibly associated with a specific event or context

    oai_token-act-pair · gpt-3.5-turbo

    specific names of sports teams and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Feder
    -0.77
    ãĥīãĥ©ãĤ´ãĥ³
    -0.74
    WAYS
    -0.73
     Alz
    -0.72
     Imran
    -0.72
    WARE
    -0.72
    hran
    -0.67
     FORM
    -0.66
    Û
    -0.65
    anwhile
    -0.65
    POSITIVE LOGITS
    keye
    0.95
    eli
    0.83
    nih
    0.81
    emaker
    0.81
    zeb
    0.80
     Buc
    0.80
    roma
    0.79
    Winged
    0.78
    ighton
    0.78
    ormal
    0.76
    Activations Density 0.013%

    No Known Activations