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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. 1-RES-JB
    11. 351
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    INDEX
    Explanations

    mentions of specific locations or landmarks

    oai_token-act-pair · gpt-3.5-turbo

    references to extreme temperatures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vest
    -0.77
    wallet
    -0.71
    upp
    -0.70
    eny
    -0.68
    utters
    -0.67
    mitting
    -0.67
    metic
    -0.65
     fing
    -0.65
     ancest
    -0.64
    ozo
    -0.64
    POSITIVE LOGITS
     SetTextColor
    0.72
     Slash
    0.71
     Magnus
    0.71
     Filter
    0.70
     Whip
    0.69
     Harmon
    0.69
     Rasmussen
    0.68
    NPR
    0.67
     Scand
    0.66
     Dwell
    0.64
    Activations Density 0.000%

    No Known Activations