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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. 23760
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    INDEX
    Explanations

    numbers and numerical patterns

    oai_token-act-pair · gpt-3.5-turbo

    quantitative expressions and numerical data

    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
    opter
    -0.75
    vice
    -0.65
     Volcano
    -0.58
     spont
    -0.57
     Caption
    -0.55
     exchange
    -0.54
     Situation
    -0.53
    hift
    -0.52
    zzle
    -0.52
    opsis
    -0.51
    POSITIVE LOGITS
     times
    1.28
     miles
    1.08
     kilometers
    1.07
    years
    1.04
     years
    1.03
    fold
    1.00
     degrees
    0.99
     feet
    0.99
     kilometres
    0.98
     fold
    0.96
    Activations Density 0.118%

    No Known Activations