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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. 12535
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    Explanations

    text related to payloads, specifically focusing on references to payload features, specifications, and characteristics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of payloads in the context of aerospace or satellite technology

    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
    lex
    -0.85
    ERAL
    -0.69
    ect
    -0.68
    ocal
    -0.68
    vo
    -0.66
    coni
    -0.64
    tern
    -0.64
     Rhythm
    -0.63
    chi
    -0.63
    Lago
    -0.63
    POSITIVE LOGITS
     payload
    1.33
    sburg
    0.83
     tray
    0.82
     baskets
    0.79
    romeda
    0.78
    orer
    0.75
    loads
    0.74
    ngth
    0.73
    ments
    0.72
     Tray
    0.72
    Activations Density 0.008%

    No Known Activations