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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. 6-RES-JB
    11. 7440
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    Explanations

    terms related to work and tasks

    oai_token-act-pair · gpt-3.5-turbo

    references to work and labor-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ukrain
    -0.92
     constitu
    -0.78
     Flavoring
    -0.78
    iren
    -0.77
    wcs
    -0.75
     champagne
    -0.69
     Bubble
    -0.69
    EStream
    -0.68
    anamo
    -0.68
    ylon
    -0.62
    POSITIVE LOGITS
     ethic
    1.35
    station
    1.33
    flows
    1.31
    bench
    1.27
    horse
    1.25
    manship
    1.19
    aday
    1.16
    fare
    1.11
    forces
    1.05
    hops
    0.98
    Activations Density 0.060%

    No Known Activations