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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    the word "cue."

    oai_token-act-pair · gpt-3.5-turbo

    references to visual and contextual signals or indicators

    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
    ursed
    -0.75
     Payments
    -0.71
    arch
    -0.66
    ({
    -0.66
    exp
    -0.64
    rak
    -0.62
    ropolitan
    -0.62
    development
    -0.62
     Transactions
    -0.61
     miscar
    -0.61
    POSITIVE LOGITS
     cue
    4.17
     cues
    3.52
     Cue
    2.17
    cue
    1.82
     stimuli
    1.15
     clues
    1.10
     stimulus
    1.02
     cuff
    1.02
     clue
    1.00
    yrics
    0.89
    Activations Density 0.024%

    No Known Activations