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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. 12-RES-JB
    11. 3232
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    INDEX
    Explanations

    repeated phrases or instructions

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instances of repetition and looping

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uana
    -0.81
    oji
    -0.70
    mpeg
    -0.70
    icial
    -0.68
    ffe
    -0.68
    sie
    -0.66
    toggle
    -0.66
    ugu
    -0.65
    rave
    -0.65
    IAS
    -0.64
    POSITIVE LOGITS
    nces
    0.94
     repeats
    0.88
     occurrences
    0.87
     offenders
    0.86
     patterns
    0.85
     repetition
    0.84
    lly
    0.83
    ably
    0.83
     endlessly
    0.82
     offender
    0.81
    Activations Density 0.113%

    No Known Activations