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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. 4-RES-JB
    11. 18598
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    Explanations

    scientific studies or research results

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating research findings or results

    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
    iche
    -0.78
     Strongh
    -0.68
     redes
    -0.65
    gur
    -0.65
    pour
    -0.63
    lees
    -0.63
     Household
    -0.62
     Neigh
    -0.62
    ession
    -0.62
    ilitary
    -0.61
    POSITIVE LOGITS
     scientists
    0.87
     correlations
    0.85
     abnormalities
    0.84
     findings
    0.81
     researchers
    0.79
    ournals
    0.79
     measurable
    0.77
     laboratories
    0.77
     laboratory
    0.76
     studies
    0.75
    Activations Density 0.104%

    No Known Activations