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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. 23492
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    Explanations

    references to wild animals or plants

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "wild" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    uyomi
    -0.86
    adr
    -0.83
    aminer
    -0.81
    akeru
    -0.74
     Reincarnated
    -0.73
    uting
    -0.73
    adian
    -0.72
    uters
    -0.72
    utical
    -0.72
    rators
    -0.71
    POSITIVE LOGITS
    erness
    1.43
    lings
    1.03
    flower
    0.99
    er
    0.98
    cat
    0.96
    cats
    0.90
    abouts
    0.89
    est
    0.87
    card
    0.87
    fire
    0.87
    Activations Density 0.022%

    No Known Activations