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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    instances of the word "everywhere."

    oai_token-act-pair · gpt-3.5-turbo

    the word "everywhere" in various contexts

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

    No Comments

    Negative Logits
    gotten
    -0.83
    bal
    -0.75
    missions
    -0.68
    stood
    -0.66
    Medic
    -0.61
    quel
    -0.61
    hem
    -0.60
    GRE
    -0.60
    mitting
    -0.60
    kers
    -0.60
    POSITIVE LOGITS
     else
    1.20
    abouts
    1.14
     Everywhere
    1.13
     imaginable
    0.92
     Else
    0.82
     everywhere
    0.80
     except
    0.79
    Else
    0.79
     conceivable
    0.78
    upon
    0.78
    Activations Density 0.006%

    No Known Activations