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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. 7013
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    Explanations

    words related to physical forces or actions like scraping, pushing, bending, pulling, leaking, pouring, cutting, clicking, sapping, bolstering, easing, shedding, and pumping

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and action-related terms indicating physical or metaphorical movements

    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
    igmatic
    -0.86
    pret
    -0.79
    lvl
    -0.78
    redo
    -0.74
    classified
    -0.73
    seeing
    -0.72
    QB
    -0.71
    inately
    -0.69
    OPE
    -0.69
    ãĥĩãĤ£
    -0.68
    POSITIVE LOGITS
     spree
    1.04
    tons
    0.98
     frenzy
    0.97
     process
    0.96
    redients
    0.95
     pains
    0.95
     ceremony
    0.94
     motions
    0.89
     behaviour
    0.88
     noises
    0.88
    Activations Density 0.287%

    No Known Activations