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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. 347
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    INDEX
    Explanations

    adjectives or terms representing a wide or extensive scope

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "broad" in various contexts

    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
     Tycoon
    -0.86
     Keeper
    -0.79
    ICAN
    -0.76
    LV
    -0.74
     Disciple
    -0.73
     Camer
    -0.71
     Mistress
    -0.68
    agate
    -0.67
    Dialogue
    -0.67
    aminer
    -0.65
    POSITIVE LOGITS
    sheet
    1.46
    sheets
    1.30
    leaf
    1.11
    ening
    1.11
    sword
    1.01
     spectrum
    0.98
     strokes
    0.95
    ened
    0.90
    side
    0.88
     swath
    0.86
    Activations Density 0.022%

    No Known Activations