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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. 208
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    INDEX
    Explanations

    mentions of sports and athletic achievements

    oai_token-act-pair · gpt-3.5-turbo

    sports-related events and statistics

    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
    indust
    -0.64
     administrators
    -0.63
     finan
    -0.61
    AppData
    -0.61
     publisher
    -0.59
     moder
    -0.58
     editorial
    -0.58
    sylv
    -0.58
    Administ
    -0.57
    itect
    -0.57
    POSITIVE LOGITS
     touchdown
    1.24
     interceptions
    1.19
     fastball
    1.18
     interception
    1.17
     batted
    1.15
     touchdowns
    1.15
     fumble
    1.12
     homers
    1.09
     homer
    1.07
     drib
    1.07
    Activations Density 0.522%

    No Known Activations