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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. 11-RES-JB
    11. 15000
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    INDEX
    Explanations

    proper nouns in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to competitive and entertainment events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    luaj
    -0.80
    phasis
    -0.79
    aughtered
    -0.74
    urat
    -0.73
    displayText
    -0.72
    itled
    -0.70
    tesy
    -0.66
    iless
    -0.66
    cribed
    -0.65
    ounded
    -0.63
    POSITIVE LOGITS
     destinations
    1.03
     achie
    1.00
     thinkers
    0.98
     performers
    0.96
     brands
    0.95
     EVER
    0.93
    weights
    0.91
     traged
    0.88
     earners
    0.87
     minds
    0.87
    Activations Density 0.297%

    No Known Activations