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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. 11-RES-JB
    11. 2166
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    Explanations

    specific objects or entities within a broader context

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the search for the best options or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uploads
    -0.88
    angering
    -0.76
    mediated
    -0.69
    assisted
    -0.66
    ãĥ¼ãĥ«
    -0.65
     assumes
    -0.64
    orate
    -0.63
     toured
    -0.63
    cour
    -0.62
     Provided
    -0.61
    POSITIVE LOGITS
     elusive
    1.25
     culprit
    1.18
     perfect
    1.18
     missing
    1.12
     nearest
    1.09
     answer
    1.03
     solution
    1.02
     answers
    1.00
     loophole
    0.98
     optimum
    0.96
    Activations Density 0.181%

    No Known Activations