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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. 6463
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    INDEX
    Explanations

    expressions related to necessity, expectation, or assessment

    oai_token-act-pair · gpt-3.5-turbo

    the necessity of certain actions or conditions

    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
    opian
    -0.77
     fray
    -0.66
     Globe
    -0.63
     Rab
    -0.62
     Kore
    -0.62
    zynski
    -0.59
     whirlwind
    -0.58
     overlap
    -0.57
     Jur
    -0.57
     limbo
    -0.57
    POSITIVE LOGITS
    leeve
    0.98
     able
    0.92
    fitting
    0.86
     done
    0.85
    fits
    0.84
     accounted
    0.84
     considered
    0.83
     addressed
    0.82
     understood
    0.81
     careful
    0.80
    Activations Density 0.099%

    No Known Activations