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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. 5997
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    Explanations

    specific sets or collections of items or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to collections or groups of items 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
     Souls
    -0.72
    hammad
    -0.70
    Fight
    -0.69
    Sense
    -0.65
    IBLE
    -0.64
    ãĥĨãĤ£
    -0.63
    inventoryQuantity
    -0.62
    æĺ¯
    -0.62
    Johnny
    -0.61
    gary
    -0.61
    POSITIVE LOGITS
     showc
    0.82
    estone
    0.80
    emark
    0.79
     set
    0.78
    atum
    0.77
    offs
    0.76
    tle
    0.76
    table
    0.76
    itia
    0.76
    itud
    0.75
    Activations Density 0.033%

    No Known Activations