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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. 1-RES-JB
    6. 1140
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    INDEX
    Explanations

    detailed descriptions of objects or scenarios

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "description"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enthal
    -0.72
     scrimmage
    -0.71
    acus
    -0.71
    nuts
    -0.68
    leaning
    -0.68
    ced
    -0.66
    duino
    -0.65
    yrus
    -0.63
    itsch
    -0.63
    inth
    -0.62
    POSITIVE LOGITS
     description
    1.19
     descriptions
    1.14
     describ
    0.97
     synopsis
    0.93
    description
    0.91
    anguage
    0.84
     warr
    0.82
    ãĤ¼ãĤ¦ãĤ¹
    0.79
    CRIPTION
    0.78
    escription
    0.78
    Activations Density 0.008%

    No Known Activations