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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. 4983
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    Explanations

    the word "repeat" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "repeat" and its variations, indicating a focus on recurrence or repetition in 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
    uana
    -0.92
    sie
    -0.75
    isu
    -0.74
    hiro
    -0.70
    icial
    -0.65
    ffe
    -0.65
    WOOD
    -0.65
    IAS
    -0.64
    allery
    -0.64
    izons
    -0.63
    POSITIVE LOGITS
     offenders
    0.97
    lly
    0.94
    ability
    0.94
    able
    0.92
    ably
    0.92
    nces
    0.90
     playthrough
    0.89
     offender
    0.86
     occurrences
    0.80
     patterns
    0.79
    Activations Density 0.040%

    No Known Activations