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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. 8-RES-JB
    11. 23892
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    Explanations

    numerical values related to specific incidents or events

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or codes associated with incidents or reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FML
    -0.73
    keley
    -0.70
    tel
    -0.67
    pard
    -0.63
     allerg
    -0.60
    oops
    -0.59
    icum
    -0.59
    wolves
    -0.59
    tif
    -0.58
    istries
    -0.58
    POSITIVE LOGITS
     Quote
    0.74
    senal
    0.73
    odox
    0.68
     Comments
    0.68
    leneck
    0.67
     }}
    0.66
     |
    0.66
     Submit
    0.65
    Balt
    0.64
     Tracker
    0.62
    Activations Density 0.158%

    No Known Activations