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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. 9-RES-JB
    6. 76
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    INDEX
    Explanations

    questions posed in a somewhat dramatic or urgent manner

    oai_token-act-pair · gpt-3.5-turbo

    rhetorical questions and expressions of uncertainty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ://
    -0.72
    REM
    -0.60
    vant
    -0.60
    visors
    -0.59
    charg
    -0.59
     Mansion
    -0.58
    liner
    -0.58
    cin
    -0.57
    PORT
    -0.56
     veterans
    -0.56
    POSITIVE LOGITS
     exactly
    0.96
     somew
    0.89
     pray
    0.87
     whence
    0.79
     anyway
    0.74
     WHY
    0.73
     precisely
    0.73
     uh
    0.71
     oh
    0.70
     Exactly
    0.69
    Activations Density 0.065%

    No Known Activations