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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. 11171
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    INDEX
    Explanations

    mentions of the Super Bowl

    oai_token-act-pair · gpt-3.5-turbo

    references to the Super Bowl

    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
    gow
    -0.72
     unborn
    -0.70
    OPLE
    -0.69
    kson
    -0.67
    omorphic
    -0.66
     fet
    -0.65
     pins
    -0.64
     pieces
    -0.64
     playback
    -0.64
     thumbnail
    -0.64
    POSITIVE LOGITS
    bowl
    1.30
    natural
    1.25
     Bowl
    1.23
    visors
    1.22
    hero
    1.15
    markets
    1.13
    visor
    1.12
    charg
    1.10
    visory
    1.08
    intend
    1.07
    Activations Density 0.018%

    No Known Activations