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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. 7-RES-JB
    6. 16168
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    INDEX
    Explanations

    references to points or experience gained in a game-like setting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to experience points and rewards in gaming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cherokee
    -0.74
     Afric
    -0.70
     Nicarag
    -0.69
     schizophren
    -0.67
     Willie
    -0.65
    unci
    -0.64
     Canary
    -0.63
     Chero
    -0.63
    cknow
    -0.62
     Siri
    -0.62
    POSITIVE LOGITS
     Gained
    1.08
     expended
    1.07
     accumulation
    1.04
     depletion
    1.03
     accumulated
    0.99
     accumulate
    0.95
    uria
    0.89
     gained
    0.89
    flow
    0.88
     totals
    0.88
    Activations Density 0.543%

    No Known Activations