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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. 9-RES-JB
    11. 19557
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    INDEX
    Explanations

    mentions of the abbreviation "AA" at varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to academic associations or credit rating entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Grizzlies
    -0.84
    fully
    -0.84
    gro
    -0.78
    anooga
    -0.77
    bourg
    -0.77
    wikipedia
    -0.74
    eering
    -0.73
     Meow
    -0.73
    hunt
    -0.72
     Osw
    -0.72
    POSITIVE LOGITS
    QB
    0.88
    terness
    0.72
    ourt
    0.72
    ccess
    0.71
    ucc
    0.69
    aah
    0.68
    IB
    0.67
    ishy
    0.66
    FP
    0.66
    ño
    0.66
    Activations Density 0.071%

    No Known Activations