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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. 23869
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    Explanations

    specific numbers or statistics

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to reported cases or incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    atown
    -0.68
    aban
    -0.64
    bara
    -0.62
    anamo
    -0.62
    folk
    -0.61
    jen
    -0.61
     theirs
    -0.61
    sole
    -0.60
    abi
    -0.59
    especially
    -0.59
    POSITIVE LOGITS
     consecutive
    0.98
     percent
    0.92
     total
    0.89
    %
    0.88
     tonnes
    0.85
     pounds
    0.83
     pairs
    0.82
     fewer
    0.79
     kilograms
    0.79
     entries
    0.79
    Activations Density 0.274%

    No Known Activations