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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. 6-RES-JB
    6. 6635
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    Explanations

    keywords related to the start or beginning of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the initiation of actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itsch
    -0.91
    atu
    -0.78
    vertisement
    -0.73
    ilit
    -0.70
    ibble
    -0.70
    abyte
    -0.68
    owl
    -0.68
    eely
    -0.68
    otton
    -0.67
    abilities
    -0.65
    POSITIVE LOGITS
     anew
    0.84
     dusk
    0.72
     XI
    0.68
    points
    0.67
    lander
    0.63
    ģ«
    0.63
    strap
    0.62
     salaries
    0.62
    ribune
    0.61
     puberty
    0.61
    Activations Density 0.037%

    No Known Activations