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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. 19340
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    Explanations

    direct speech with quotations

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks indicating spoken or quoted dialogue

    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
     prec
    -0.82
     prelim
    -0.78
     pacing
    -0.77
     altar
    -0.73
     halfway
    -0.72
     streaming
    -0.72
     priesthood
    -0.72
     studio
    -0.70
     ranking
    -0.70
     pyramid
    -0.70
    POSITIVE LOGITS
    Really
    1.20
    We
    1.17
    quickShipAvailable
    1.15
    Certainly
    1.14
    I
    1.12
    What
    1.11
    Very
    1.10
    Quite
    1.09
    You
    1.09
    It
    1.09
    Activations Density 0.096%

    No Known Activations