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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. 10-RES-JB
    11. 6513
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    INDEX
    Explanations

    phrases related to speed or rate

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "pace" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arov
    -0.73
    reditary
    -0.71
    ocular
    -0.70
    oras
    -0.69
    atch
    -0.69
    oral
    -0.69
    obyl
    -0.68
    isman
    -0.68
    irsch
    -0.67
    ramid
    -0.67
    POSITIVE LOGITS
     pace
    1.18
     paced
    1.02
    ometer
    0.98
     tempo
    0.93
     pacing
    0.87
     slows
    0.86
     cooker
    0.85
     speeds
    0.81
     Collider
    0.79
     slower
    0.79
    Activations Density 0.070%

    No Known Activations