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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. 4-RES-JB
    6. 20812
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    INDEX
    Explanations

    words related to cues, especially focusing on the word "cue" itself

    oai_token-act-pair · gpt-3.5-turbo

    references to cues and signals in various contexts

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

    No Comments

    Negative Logits
     ILCS
    -0.89
    adders
    -0.73
    ibaba
    -0.71
     unsolved
    -0.70
    oslav
    -0.65
    abeth
    -0.64
     Armenian
    -0.64
    onyms
    -0.63
    aughters
    -0.62
    ovation
    -0.61
    POSITIVE LOGITS
     cue
    1.20
     cues
    1.07
    llor
    0.99
     Cue
    0.85
    ption
    0.80
    utic
    0.80
    eer
    0.76
    pill
    0.76
    eers
    0.75
    eering
    0.75
    Activations Density 0.011%

    No Known Activations