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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. 4-RES-JB
    6. 3521
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    Explanations

    phrases related to explaining or instructing the use of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to usability and the act of using something

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

    No Comments

    Negative Logits
    Ń·
    -0.74
     Mysteries
    -0.67
     Barg
    -0.67
     Empires
    -0.66
     Griff
    -0.66
    mort
    -0.63
    ward
    -0.62
    hra
    -0.61
     Bom
    -0.61
     Bounty
    -0.59
    POSITIVE LOGITS
    fully
    1.01
    FUL
    0.96
    ancies
    0.96
    fulness
    0.85
    iences
    0.83
    ience
    0.82
    full
    0.78
     leverage
    0.77
    ful
    0.77
    itures
    0.77
    Activations Density 0.079%

    No Known Activations