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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. 6-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Welcome."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    negie
    -0.80
    orius
    -0.68
    appropri
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    river
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    onel
    -0.65
    ieth
    -0.65
    ole
    -0.65
     forgiven
    -0.64
    riter
    -0.62
    rained
    -0.62
    POSITIVE LOGITS
    elcome
    0.93
    prise
    0.89
     Welcome
    0.89
    Reviewer
    0.86
    Welcome
    0.82
     Surprise
    0.81
    giving
    0.80
     Guest
    0.79
    ISSION
    0.79
    ISTER
    0.78
    Activations Density 0.021%

    No Known Activations