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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 4693
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    INDEX
    Explanations

    mentions of specific sports events and competitions

    oai_token-act-pair · gpt-3.5-turbo

    references to sports events and championships

    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
    akespeare
    -0.79
    itars
    -0.78
    anwhile
    -0.73
    terday
    -0.72
    nsic
    -0.71
    oldemort
    -0.71
    ertodd
    -0.68
    zzle
    -0.66
    gerald
    -0.66
    erie
    -0.65
    POSITIVE LOGITS
     Finals
    1.31
     Playoffs
    1.27
     Championship
    1.25
    League
    1.20
     Playoff
    1.15
     Rookie
    1.12
     Trophy
    1.12
     Championships
    1.11
     playoffs
    1.08
     championship
    1.07
    Activations Density 0.137%

    No Known Activations