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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. 4-RES-JB
    11. 9480
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    INDEX
    Explanations

    comparisons of speed or pace

    oai_token-act-pair · gpt-3.5-turbo

    terms related to speed or rapidity

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

    No Comments

    Negative Logits
    mberg
    -0.96
    liga
    -0.85
    reen
    -0.79
    äºĶ
    -0.78
    arov
    -0.75
    esan
    -0.75
    ortium
    -0.74
    pty
    -0.73
    arks
    -0.73
    rights
    -0.73
    POSITIVE LOGITS
     paced
    1.22
     than
    1.04
     Than
    0.96
     lear
    0.96
     speeds
    0.94
     Faster
    0.87
    idious
    0.87
     turnaround
    0.82
     learners
    0.80
     acceleration
    0.79
    Activations Density 0.012%

    No Known Activations