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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. 5-RES-JB
    6. 4680
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    INDEX
    Explanations

    statements emphasizing an unexpected or extreme outcome or circumstance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "even."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rend
    -0.74
    idon
    -0.68
    alogy
    -0.64
    _-
    -0.63
    plex
    -0.63
    eme
    -0.62
    ugal
    -0.60
    =-=-=-=-=-=-=-=-
    -0.60
    ymph
    -0.60
    rog
    -0.60
    POSITIVE LOGITS
     remotely
    1.13
     bother
    0.78
     mention
    0.76
     bothered
    0.75
     bothering
    0.74
     slightest
    0.71
     mentioning
    0.70
     outright
    0.69
    THING
    0.66
    handed
    0.66
    Activations Density 0.033%

    No Known Activations