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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. 8-RES-JB
    11. 20398
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    Explanations

    phrases related to taking action or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to taking action or making decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bohem
    -0.85
    eger
    -0.73
     Rath
    -0.66
     spat
    -0.65
     vigorously
    -0.65
     Kok
    -0.62
     thirst
    -0.62
     privately
    -0.62
    geist
    -0.61
     nort
    -0.60
    POSITIVE LOGITS
    taker
    0.95
    ahead
    0.95
    tale
    0.88
    your
    0.88
    luster
    0.88
    away
    0.85
    aways
    0.84
    up
    0.83
    ety
    0.82
    release
    0.82
    Activations Density 0.070%

    No Known Activations