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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. 5955
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    INDEX
    Explanations

    words related to a form or level of performance or quality

    oai_token-act-pair · gpt-3.5-turbo

    references to athletic performance and form

    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
     settlers
    -0.73
     censor
    -0.73
     Settlement
    -0.69
     Phone
    -0.67
     Telephone
    -0.66
     umb
    -0.66
    chair
    -0.65
    ksh
    -0.65
     cens
    -0.65
     cart
    -0.64
    POSITIVE LOGITS
     Incarn
    0.93
    emic
    0.91
    ufact
    0.89
     athlet
    0.87
    iggurat
    0.84
    nesses
    0.84
     athleticism
    0.79
     streak
    0.79
    osterone
    0.79
     composure
    0.76
    Activations Density 0.112%

    No Known Activations