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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. 4-RES-JB
    11. 1288
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    Explanations

    words related to different professions and occupations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial and health-related issues

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

    No Comments

    Negative Logits
    FUL
    -0.67
     chronological
    -0.66
    channelAvailability
    -0.65
    Ô
    -0.64
    _>
    -0.62
    stellar
    -0.61
     Bohem
    -0.61
     Pwr
    -0.61
     Say
    -0.61
     Abyss
    -0.60
    POSITIVE LOGITS
    istries
    0.92
    aires
    0.90
    itaire
    0.87
    lance
    0.84
    ancies
    0.84
    ared
    0.83
    odes
    0.82
    ements
    0.82
    ineries
    0.82
    iques
    0.81
    Activations Density 0.521%

    No Known Activations