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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. 3-RES-JB
    11. 211
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    INDEX
    Explanations

    terms related to leading in a competition or sports context

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scoring or leading in competitive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Sov
    -0.84
    arthy
    -0.81
    Availability
    -0.72
     concess
    -0.71
    ocations
    -0.66
    emis
    -0.64
    cube
    -0.64
    anium
    -0.63
    artney
    -0.63
    details
    -0.62
    POSITIVE LOGITS
     scorer
    0.92
    ĸļ
    0.81
    leaders
    0.74
    lead
    0.73
    leading
    0.73
     clin
    0.71
     Blazers
    0.70
     Defensive
    0.69
     streak
    0.68
     streaks
    0.68
    Activations Density 0.043%

    No Known Activations