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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. 15014
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    Explanations

    phrases related to completing tasks or meeting deadlines

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "time."

    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
     Flavoring
    -0.76
    otine
    -0.73
    uties
    -0.72
    avored
    -0.70
    ramid
    -0.66
    illard
    -0.66
    uren
    -0.65
    avorite
    -0.63
    oret
    -0.63
    oves
    -0.62
    POSITIVE LOGITS
    bral
    0.85
    trial
    0.83
    frames
    0.81
    frame
    0.74
    zone
    0.71
     lapse
    0.69
    skirts
    0.68
     zones
    0.68
    pieces
    0.67
    î
    0.67
    Activations Density 0.026%

    No Known Activations