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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. 1-RES-JB
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    Explanations

    the word "any" with high activation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "any."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prey
    -0.63
     peak
    -0.62
     brim
    -0.61
    omsday
    -0.60
    ffic
    -0.59
     hunger
    -0.59
     unders
    -0.58
     simulate
    -0.56
    rosse
    -0.55
     prox
    -0.55
    POSITIVE LOGITS
    THING
    1.04
    where
    1.03
    any
    0.98
    body
    0.97
    emi
    0.96
    one
    0.95
    ika
    0.88
    agh
    0.83
    hee
    0.80
    WHERE
    0.80
    Activations Density 0.004%

    No Known Activations