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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. 9-RES-JB
    11. 13878
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    INDEX
    Explanations

    phrases indicating negative evaluation or criticism

    oai_token-act-pair · gpt-3.5-turbo

    negations or phrases indicating impossibility or lack of fulfillment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     merely
    -0.82
    only
    -0.79
    rimination
    -0.73
    afort
    -0.73
    utenberg
    -0.66
     only
    -0.65
     doubtless
    -0.64
     secretly
    -0.60
    uta
    -0.60
    andum
    -0.60
    POSITIVE LOGITS
     darn
    0.83
    ãĤ¸
    0.72
    Õ
    0.70
    ãĥ»
    0.68
     fuckin
    0.67
     goddamn
    0.66
    Availability
    0.66
    WHERE
    0.66
     godd
    0.66
    íķ
    0.65
    Activations Density 0.097%

    No Known Activations