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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. 5260
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    Explanations

    numerical values preceded by a currency symbol and followed by a large number

    oai_token-act-pair · gpt-3.5-turbo

    financial figures and statistical data

    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
     redist
    -0.63
     Supplement
    -0.59
    kefeller
    -0.57
     Wra
    -0.57
    Reviewer
    -0.57
    knit
    -0.57
     dearly
    -0.56
    ãĤ§
    -0.56
    lessly
    -0.56
     Answers
    -0.55
    POSITIVE LOGITS
     apiece
    0.91
    mph
    0.85
    fps
    0.81
    hz
    0.79
    MHz
    0.78
     mph
    0.77
     level
    0.77
    bps
    0.76
    avin
    0.76
     intervals
    0.72
    Activations Density 0.366%

    No Known Activations