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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. 3-RES-JB
    11. 24283
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    Explanations

    mentions of a specific news organization

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Caller"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ced
    -0.73
     managerial
    -0.70
    itionally
    -0.69
    ilk
    -0.67
     relegation
    -0.66
     Hung
    -0.64
    umped
    -0.63
    mble
    -0.61
    tackle
    -0.61
    equality
    -0.60
    POSITIVE LOGITS
     Caller
    1.38
     Emails
    0.74
    sonian
    0.73
     Nights
    0.73
    æ©Ł
    0.70
    dayName
    0.69
    iac
    0.68
    aires
    0.68
     VIDEOS
    0.66
     scans
    0.65
    Activations Density 0.015%

    No Known Activations