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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. 6173
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    Explanations

    time-related information such as hours and minutes

    oai_token-act-pair · gpt-3.5-turbo

    patterns related to punctuation and formatting in written content

    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
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    No Comments

    Negative Logits
     eleph
    -0.71
     enthusi
    -0.65
     withd
    -0.63
     toget
    -0.63
     hemor
    -0.60
     AS
    -0.59
     tremend
    -0.59
    ô
    -0.58
     reluct
    -0.57
    ñ
    -0.57
    POSITIVE LOGITS
    m
    1.26
    meter
    1.01
    pm
    0.97
    ms
    0.95
    mx
    0.91
    fm
    0.88
    mb
    0.86
    mk
    0.86
    md
    0.86
    mop
    0.82
    Activations Density 0.015%

    No Known Activations