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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. 14659
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    Explanations

    phrases mentioning "Cro" with varying degrees of emphasis, possibly related to a specific topic or entity named "Cro"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Cro" and its variations, indicating a focus on a specific name or subject matter

    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
    uate
    -0.84
    nah
    -0.73
     BART
    -0.73
    imental
    -0.67
     Werewolf
    -0.65
    BIP
    -0.64
     assistants
    -0.64
    uated
    -0.63
     Naz
    -0.62
     [-
    -0.60
    POSITIVE LOGITS
    oked
    1.36
    oks
    1.24
    tch
    1.10
    issance
    1.09
    tty
    1.09
    chet
    1.07
    cod
    1.04
    pped
    1.02
    cker
    1.01
    cus
    1.01
    Activations Density 0.028%

    No Known Activations