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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. 4-RES-JB
    11. 911
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    INDEX
    Explanations

    initials followed by a number (e.g., "HL9") typically associated with hockey leagues

    oai_token-act-pair · gpt-3.5-turbo

    references to hockey leagues and their respective divisions

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

    No Comments

    Negative Logits
    ta
    -0.73
    combe
    -0.70
    =-=-=-=-=-=-=-=-
    -0.64
    behavior
    -0.64
    ãĥ¯
    -0.64
     Debor
    -0.64
     Antar
    -0.62
     Gund
    -0.59
     Byrne
    -0.59
    atom
    -0.58
    POSITIVE LOGITS
    HL
    1.03
    ockey
    0.87
    WA
    0.87
    ipeg
    0.86
    HF
    0.83
     hockey
    0.80
    ergic
    0.80
    UTE
    0.80
     rink
    0.79
    OPE
    0.78
    Activations Density 0.012%

    No Known Activations