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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. 20460
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    Explanations

    mentions of individuals' names, particularly "Mayer" and "Miguel"

    oai_token-act-pair · gpt-3.5-turbo

    names related to individuals and organizations

    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
    ivity
    -0.85
    verted
    -0.73
    away
    -0.73
    ifts
    -0.72
    irtual
    -0.70
    rend
    -0.69
    yer
    -0.68
    ded
    -0.67
    imation
    -0.66
    ible
    -0.65
    POSITIVE LOGITS
    useum
    0.81
    ONEY
    0.76
    asonic
    0.75
    unicip
    0.74
     Mayhem
    0.73
    uppet
    0.73
    arijuana
    0.70
    achine
    0.68
    uchin
    0.68
    atorium
    0.68
    Activations Density 0.150%

    No Known Activations