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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. 7-RES-JB
    11. 8591
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    Explanations

    phrases related to activities or situations behind the scenes

    oai_token-act-pair · gpt-3.5-turbo

    references to 'behind-the-scenes' elements or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     upgraded
    -0.71
     rebuilt
    -0.70
     upgr
    -0.68
     cause
    -0.65
     gamble
    -0.63
     preferred
    -0.63
    jri
    -0.62
     degree
    -0.61
     reversible
    -0.61
     Dow
    -0.61
    POSITIVE LOGITS
    sight
    0.93
    scenes
    0.90
    advertising
    0.87
    mentioned
    0.85
    skirts
    0.85
    the
    0.84
    shadow
    0.83
    repl
    0.83
    thought
    0.82
    earth
    0.82
    Activations Density 0.058%

    No Known Activations