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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. 20045
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    Explanations

    descriptions of physical attributes or conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to evaluation and assessment of performance or quality

    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
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    Negative Logits
     Brill
    -0.83
     Copyright
    -0.74
    burgh
    -0.67
    ĪĴ
    -0.65
     Benz
    -0.63
     Personality
    -0.62
     Beir
    -0.62
     brill
    -0.61
     Dud
    -0.61
     dwar
    -0.60
    POSITIVE LOGITS
    okemon
    0.70
    Fish
    0.67
    rates
    0.64
    antage
    0.63
    secut
    0.63
    ily
    0.62
    icent
    0.61
    Reviewer
    0.60
    irit
    0.57
    ison
    0.56
    Activations Density 0.122%

    No Known Activations