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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. 7-RES-JB
    11. 14276
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    Explanations

    comparative statements indicating a higher quantity or value

    oai_token-act-pair · gpt-3.5-turbo

    comparisons denoted by the word "than."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilic
    -0.74
    20439
    -0.65
    Creat
    -0.63
    ogi
    -0.62
     directions
    -0.62
     Directions
    -0.62
    sburg
    -0.61
    ista
    -0.60
    liction
    -0.59
    DH
    -0.59
    POSITIVE LOGITS
     tripled
    1.02
     doubled
    0.92
     doubling
    0.91
     twice
    0.86
    whelming
    0.78
     550
    0.76
     400
    0.76
     450
    0.76
     600
    0.75
    capacity
    0.72
    Activations Density 0.072%

    No Known Activations