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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. 3-RES-JB
    6. 2005
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    Explanations

    phrases related to written or verbal descriptions of various items or situations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nuts
    -0.79
    avis
    -0.68
    igham
    -0.66
    yrus
    -0.65
    abb
    -0.65
     scrimmage
    -0.65
    BSD
    -0.65
    ced
    -0.63
    aghetti
    -0.63
    uld
    -0.62
    POSITIVE LOGITS
     description
    0.92
     descriptions
    0.91
    anguage
    0.84
     synopsis
    0.79
    REDACTED
    0.78
    description
    0.77
    terday
    0.76
     describ
    0.75
     thereof
    0.75
    >[
    0.74
    Activations Density 0.020%

    No Known Activations