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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. 7-RES-JB
    11. 14088
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    Explanations

    mentions of the word "horn" in various contexts, potentially related to geography, sports, or other topics

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "horn," particularly in relation to animals such as rhinos

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     NCT
    -0.81
    arnaev
    -0.74
    ASED
    -0.66
     Chatt
    -0.65
    irements
    -0.63
    ufact
    -0.62
    PsyNetMessage
    -0.61
     ABE
    -0.60
    ©¶æ
    -0.60
    juries
    -0.60
    POSITIVE LOGITS
    pipe
    1.04
    indal
    0.92
    bill
    0.89
    beck
    0.88
    worms
    0.87
    sey
    0.85
    worm
    0.84
    ed
    0.84
    church
    0.84
    iest
    0.83
    Activations Density 0.025%

    No Known Activations