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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 "Wild" followed by a number or term of some kind, such as "Wild 9" or "Minnesota Wild"

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention 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 @ 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
    hiba
    -0.79
    igi
    -0.79
     absor
    -0.78
    isa
    -0.77
     diam
    -0.77
    milo
    -0.71
    meter
    -0.70
     exerc
    -0.68
    istries
    -0.67
    cpu
    -0.66
    POSITIVE LOGITS
     Wild
    3.82
    Wild
    2.99
    wild
    2.25
     wild
    1.91
     Wilde
    1.37
     Wilderness
    1.27
     Storm
    1.24
     Wolves
    1.17
     Zoo
    1.15
     Wildlife
    1.11
    Activations Density 0.011%

    No Known Activations