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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. 8-RES-JB
    6. 3562
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    Explanations

    words related to physical actions or tasks

    oai_token-act-pair · gpt-3.5-turbo

    specific single-letter or two-letter words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -1.00
    FUL
    -0.95
    stellar
    -0.80
    cipled
    -0.74
    imentary
    -0.72
     Presbyterian
    -0.71
     Continued
    -0.71
    landish
    -0.70
    )=(
    -0.68
    theless
    -0.66
    POSITIVE LOGITS
    asers
    0.94
    icion
    0.92
    glers
    0.91
    ancies
    0.90
    akers
    0.89
    arers
    0.89
    aunts
    0.88
    ags
    0.87
    ippers
    0.86
    amps
    0.86
    Activations Density 0.232%

    No Known Activations