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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. 0-RES-JB
    11. 16805
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    Explanations

    phrases related to speed or quickness

    oai_token-act-pair · gpt-3.5-turbo

    references to speed or fast actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Responsibility
    -0.75
    reau
    -0.72
     Personality
    -0.72
    [_
    -0.71
    ogy
    -0.70
    mist
    -0.69
    ropri
    -0.68
    OGR
    -0.67
    onomy
    -0.66
     Villa
    -0.65
    POSITIVE LOGITS
     fast
    3.65
    fast
    2.63
     Fast
    2.29
    Fast
    2.25
     faster
    2.01
     fastest
    1.81
     quick
    1.74
     speedy
    1.59
     quicker
    1.57
     slower
    1.56
    Activations Density 0.011%

    No Known Activations