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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15450
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    Explanations

    sport-related rankings and statistics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oult
    -0.82
     survives
    -0.76
    cules
    -0.74
     distinguishes
    -0.71
    helm
    -0.67
     shines
    -0.67
    nance
    -0.67
     detects
    -0.66
    tm
    -0.66
     countered
    -0.65
    POSITIVE LOGITS
     latter
    1.07
     midst
    0.98
     pursuit
    0.96
     same
    0.94
     vicinity
    0.92
     ensuing
    0.92
     guise
    0.92
     inaugural
    0.91
     country
    0.91
     aforementioned
    0.91
    Activations Density 0.405%

    No Known Activations