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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. 6-RES-JB
    11. 13763
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    Explanations

    mentions or descriptions related to winning or keeping trophies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of trophies in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    duino
    -0.82
    weeney
    -0.78
    utenberg
    -0.77
    pace
    -0.71
     experimenting
    -0.71
    ael
    -0.71
    lement
    -0.69
    omorph
    -0.69
    iquid
    -0.68
    trak
    -0.67
    POSITIVE LOGITS
     Trophy
    1.11
     trophies
    1.02
     trophy
    1.01
    phies
    0.95
     plaque
    0.80
    brates
    0.80
    aceous
    0.78
    brate
    0.72
     è£ı
    0.69
     awards
    0.68
    Activations Density 0.028%

    No Known Activations