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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. 0-RES-JB
    6. 20958
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to applications or formal procedures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jack
    -0.75
    comb
    -0.65
    rock
    -0.65
     Hor
    -0.64
     Junior
    -0.63
    far
    -0.63
    meet
    -0.61
     grade
    -0.60
     confid
    -0.60
    win
    -0.59
    POSITIVE LOGITS
    ATION
    3.95
    ATIONS
    3.38
    ATED
    2.54
    ATOR
    2.28
    ATING
    2.22
    ations
    2.15
    ATIONAL
    2.11
    ATIVE
    2.10
    ation
    1.94
    ATES
    1.93
    Activations Density 0.010%

    No Known Activations