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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. 10-RES-JB
    11. 24528
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    INDEX
    Explanations

    mentions of external links or external factors

    oai_token-act-pair · gpt-3.5-turbo

    references to external factors or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cham
    -0.80
    geist
    -0.79
    Hour
    -0.79
    rano
    -0.77
    ony
    -0.77
    oned
    -0.76
    chery
    -0.76
    oran
    -0.75
    dayName
    -0.75
    ander
    -0.75
    POSITIVE LOGITS
    ities
    1.13
    ized
    0.94
    izing
    0.88
     influences
    0.87
     observers
    0.84
     factors
    0.84
     affairs
    0.84
    ised
    0.82
     validity
    0.79
     stimuli
    0.79
    Activations Density 0.029%

    No Known Activations