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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 16378
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    Explanations

    comparisons between different entities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    comparisons between different entities or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    shire
    -0.82
    ERN
    -0.81
    collar
    -0.81
    olog
    -0.80
    unes
    -0.77
    mberg
    -0.71
    red
    -0.71
    Hack
    -0.71
    abet
    -0.71
    lied
    -0.71
    POSITIVE LOGITS
    pecting
    0.67
     cannabin
    0.66
     mindset
    0.66
     ponder
    0.62
     averages
    0.62
     nil
    0.61
     apples
    0.61
     bandits
    0.60
    thood
    0.60
     scissors
    0.60
    Activations Density 0.013%

    No Known Activations