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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. 6-RES-JB
    6. 10621
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    INDEX
    Explanations

    mentions of top rankings or positions in various categories

    oai_token-act-pair · gpt-3.5-turbo

    entities and classifications related to rankings and categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rocal
    -0.86
    ref
    -0.70
    pered
    -0.69
    ickle
    -0.68
    rint
    -0.68
    reads
    -0.67
    EngineDebug
    -0.66
    ittle
    -0.65
    Kal
    -0.64
    pload
    -0.63
    POSITIVE LOGITS
     imaginable
    0.97
     (>
    0.95
     EVER
    0.91
     Universities
    0.83
     ever
    0.76
    ever
    0.69
     Ever
    0.68
     tert
    0.67
    Ever
    0.65
     viz
    0.64
    Activations Density 0.322%

    No Known Activations