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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. 10-RES-JB
    11. 7033
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    Explanations

    comparative words implying improvement or enhancement

    oai_token-act-pair · gpt-3.5-turbo

    the word "better" and its variations related to improvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.73
    ategory
    -0.71
     Pione
    -0.68
    xxxx
    -0.65
    sup
    -0.63
    cano
    -0.62
     Emer
    -0.62
    Sov
    -0.62
    mberg
    -0.60
    Ru
    -0.60
    POSITIVE LOGITS
     than
    1.31
    than
    1.09
     behaved
    1.04
     suited
    1.03
    ment
    0.98
     Than
    0.98
     acquainted
    0.94
     understanding
    0.86
    iating
    0.84
    ments
    0.81
    Activations Density 0.062%

    No Known Activations