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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. 10-RES-JB
    11. 7077
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    Explanations

    phrases indicating a call to action

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "let's."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     mathemat
    -0.84
     vulner
    -0.81
     pyramid
    -0.71
     disliked
    -0.71
     suspic
    -0.70
     mosqu
    -0.68
     Mirage
    -0.67
     disqualified
    -0.66
     thriving
    -0.66
     accelerated
    -0.65
    POSITIVE LOGITS
    ï¸ı
    1.05
    s
    0.94
    them
    0.94
    him
    0.93
    iversary
    0.91
    invoke
    0.90
    save
    0.88
    speak
    0.87
    poke
    0.87
    tale
    0.87
    Activations Density 0.060%

    No Known Activations