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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12608
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    Explanations

    words related to unauthorized or unacceptable actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to validity, approval, and status of actions or entities

    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
    ioxide
    -0.82
    Clar
    -0.72
    zel
    -0.71
    otto
    -0.70
    ois
    -0.69
    alon
    -0.69
    frey
    -0.66
    udeb
    -0.65
    APH
    -0.65
    crit
    -0.65
    POSITIVE LOGITS
     distractions
    0.77
    adoes
    0.74
     excuses
    0.73
    nesses
    0.73
     anymore
    0.70
     wastes
    0.70
     pregnancies
    0.69
     Abandon
    0.65
    ly
    0.64
     Territory
    0.63
    Activations Density 0.123%

    No Known Activations