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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. 11-RES-JB
    11. 22148
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    Explanations

    numerical ranges or estimations

    oai_token-act-pair · gpt-3.5-turbo

    numerical estimates and ranges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uthor
    -0.77
    sson
    -0.64
    finished
    -0.62
    acqu
    -0.62
    idan
    -0.62
    Reviewer
    -0.61
     Drawn
    -0.61
    agher
    -0.59
    anqu
    -0.58
    flix
    -0.58
    POSITIVE LOGITS
     vicinity
    1.23
     ballpark
    1.19
     range
    1.16
     twenties
    1.07
     teens
    1.07
     digits
    1.00
     realm
    0.97
     neighborhood
    0.95
    undreds
    0.93
     trillions
    0.93
    Activations Density 0.141%

    No Known Activations