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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. 4-RES-JB
    11. 8501
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    Explanations

    specific patterns in the formatting of the text, such as text structure or punctuation

    oai_token-act-pair · gpt-3.5-turbo

    connections indicating comparisons and conditions

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

    No Comments

    Negative Logits
    emale
    -0.73
    chuk
    -0.69
    edIn
    -0.66
    sylv
    -0.66
     Seym
    -0.65
    indal
    -0.64
    illac
    -0.63
    thinkable
    -0.63
    aturdays
    -0.62
    acebook
    -0.61
    POSITIVE LOGITS
     largeDownload
    0.62
     unders
    0.57
     Psy
    0.56
     Baltimore
    0.55
     Mars
    0.54
     Palestinians
    0.54
    lder
    0.54
     patience
    0.52
     MEM
    0.50
     Prospect
    0.50
    Activations Density 0.775%

    No Known Activations