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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. 21803
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    INDEX
    Explanations

    mentions of trends or patterns in data

    oai_token-act-pair · gpt-3.5-turbo

    discussions surrounding trends

    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
     Lak
    -0.66
     Purchase
    -0.64
     Betsy
    -0.62
     expend
    -0.60
    ULT
    -0.59
    ricular
    -0.58
     Lod
    -0.58
     straw
    -0.58
     DUP
    -0.58
     dos
    -0.57
    POSITIVE LOGITS
    setting
    1.39
     toward
    1.18
     towards
    1.09
    lines
    1.06
    line
    1.05
    set
    0.97
    iness
    0.92
     reversal
    0.89
     trend
    0.86
    LINE
    0.86
    Activations Density 0.059%

    No Known Activations