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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. 1-RES-JB
    11. 13929
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    Explanations

    health and safety hazards in the text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to workplace and safety hazards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gdala
    -0.93
    ebus
    -0.88
    het
    -0.81
    ampires
    -0.78
    atem
    -0.77
    itton
    -0.77
    artney
    -0.76
    thood
    -0.76
    atalie
    -0.75
    ocal
    -0.74
    POSITIVE LOGITS
     hazard
    1.30
     hazards
    1.24
     Hazard
    0.89
     mitigation
    0.84
    ously
    0.75
     Rollins
    0.73
    hog
    0.72
     Cheong
    0.71
     advis
    0.70
     endanger
    0.68
    Activations Density 0.012%

    No Known Activations