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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. 7120
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    INDEX
    Explanations

    instances of the abbreviation "FA" followed by a number representing relevance or importance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "FA" acronym in various contexts

    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
    owsky
    -0.68
     Reson
    -0.67
    sis
    -0.63
    ansen
    -0.62
     embodiment
    -0.61
    ende
    -0.61
    uyomi
    -0.61
     Skydragon
    -0.60
    selves
    -0.60
     Schwarzenegger
    -0.60
    POSITIVE LOGITS
    ILS
    1.05
    uthor
    1.02
    IR
    1.02
    ULTS
    1.00
    ITH
    0.98
    INT
    0.94
    ULT
    0.92
    IL
    0.92
    KE
    0.92
    ZE
    0.88
    Activations Density 0.039%

    No Known Activations