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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. 0-RES-JB
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    Explanations

    references to the word "cat"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "cat" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gork
    -0.97
     GOODMAN
    -0.68
     easing
    -0.63
     IB
    -0.62
     mM
    -0.62
     Fellowship
    -0.61
     background
    -0.61
     IU
    -0.61
     Annotations
    -0.61
     ED
    -0.61
    POSITIVE LOGITS
    cat
    4.53
    cats
    3.10
    Cat
    2.58
     cat
    1.72
     Cat
    1.64
    bat
    1.33
    cow
    1.31
     Cats
    1.28
     cats
    1.28
     CAT
    1.25
    Activations Density 0.013%

    No Known Activations