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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. 9-RES-JB
    11. 16278
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    INDEX
    Explanations

    heights and weights in feet and pounds

    oai_token-act-pair · gpt-3.5-turbo

    specific numeric measurements related to height and weight

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Warn
    -0.68
     safegu
    -0.66
     NHS
    -0.64
     envis
    -0.62
     suppressed
    -0.62
    eele
    -0.62
     Surv
    -0.62
     writ
    -0.61
     crowds
    -0.61
     gull
    -0.61
    POSITIVE LOGITS
    Slot
    0.87
    feet
    0.87
    College
    0.86
    inches
    0.85
    adelphia
    0.84
    rafted
    0.83
    tall
    0.83
    oval
    0.82
    college
    0.77
    tackle
    0.76
    Activations Density 0.060%

    No Known Activations