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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. 2668
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    Explanations

    phrases involving work and working, including attitudes towards work and policies related to work

    oai_token-act-pair · gpt-3.5-turbo

    references to employment and work-related themes

    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
     Ukrain
    -0.87
    EStream
    -0.75
    etsk
    -0.73
     Flavoring
    -0.68
     eruption
    -0.67
     eru
    -0.67
     Bour
    -0.66
     Grenade
    -0.66
    olic
    -0.65
    anamo
    -0.65
    POSITIVE LOGITS
     ethic
    1.27
    bench
    1.07
    place
    1.06
    aday
    1.03
    fare
    0.99
    week
    0.98
    manship
    0.97
    force
    0.96
    day
    0.95
    horse
    0.93
    Activations Density 0.085%

    No Known Activations