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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. 2-RES-JB
    11. 21477
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    Explanations

    references to the abbreviation "WTF" (What The F***) in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific film titles and terminology related to the film industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lith
    -0.78
     Atl
    -0.70
     Loll
    -0.69
    rawdownloadcloneembedreportprint
    -0.67
     Wiley
    -0.66
     Senegal
    -0.60
     Atmosp
    -0.60
     Freed
    -0.59
     Lithuan
    -0.59
    felt
    -0.59
    POSITIVE LOGITS
    TF
    1.23
    oward
    0.97
    avorite
    0.89
    ILE
    0.88
    inguished
    0.86
    ract
    0.85
    TY
    0.83
    UF
    0.82
    RA
    0.82
    lesh
    0.82
    Activations Density 0.003%

    No Known Activations