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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. 11-RES-JB
    11. 21561
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    INDEX
    Explanations

    mentions of small and medium-sized entities in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and punctuation related to lists or series

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.78
    lyn
    -0.77
    rea
    -0.73
    funding
    -0.71
    cape
    -0.66
    NSA
    -0.66
    axis
    -0.63
    creator
    -0.62
    assador
    -0.62
    ressor
    -0.60
    POSITIVE LOGITS
     insignificant
    1.39
     superficial
    1.13
     innocuous
    1.09
     fleeting
    1.08
     powerless
    1.06
     simple
    1.06
     straightforward
    1.05
     harmless
    1.05
     inexpensive
    1.05
     timid
    1.03
    Activations Density 0.126%

    No Known Activations