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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. 9-RES-JB
    11. 8906
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    Explanations

    phrases related to actions or tasks that one can or cannot do

    oai_token-act-pair · gpt-3.5-turbo

    verbs and phrases indicating actions that cannot be accomplished or situations that cannot occur

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tud
    -0.60
     gradually
    -0.59
    catentry
    -0.58
     Milton
    -0.56
     Juda
    -0.56
     Almighty
    -0.56
     Hels
    -0.56
     emphasis
    -0.55
     Tasman
    -0.55
     Sig
    -0.54
    POSITIVE LOGITS
     anymore
    1.45
     ANY
    1.04
     nor
    0.98
     bothered
    0.94
     anywhere
    0.90
     anything
    0.90
    *.
    0.90
    \.
    0.90
     Enough
    0.84
    .?
    0.83
    Activations Density 0.496%

    No Known Activations