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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. 4-RES-JB
    11. 11409
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    Explanations

    formatting placeholders indicating a percentage-related value

    oai_token-act-pair · gpt-3.5-turbo

    percentage signs and numerical values associated with them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ITED
    -0.76
    Ò
    -0.68
     compr
    -0.67
     Petersen
    -0.65
    issued
    -0.65
     scrambled
    -0.65
     subpoen
    -0.65
     convened
    -0.64
     reper
    -0.64
     accomp
    -0.63
    POSITIVE LOGITS
     ABV
    0.79
    FREE
    0.77
    %%%%
    0.77
    AppData
    0.72
    %-
    0.72
    steamapps
    0.71
    rax
    0.68
    -+
    0.67
    rowth
    0.67
    lust
    0.66
    Activations Density 0.031%

    No Known Activations