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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. 3-RES-JB
    11. 13295
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    Explanations

    names followed by specific numbers, possibly related to a list or ranking

    oai_token-act-pair · gpt-3.5-turbo

    references to popular films and their associated production details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     withdraw
    -0.81
     withdrawal
    -0.75
     withdrawing
    -0.74
     lifes
    -0.73
    hement
    -0.72
    illance
    -0.72
     appoint
    -0.71
     frontline
    -0.70
    abwe
    -0.69
     retali
    -0.68
    POSITIVE LOGITS
    Characters
    1.13
    Advertisement
    1.04
    Fans
    1.01
    Trivia
    1.01
    pmwiki
    0.96
    ³³³³³³³³³³³³³³³³
    0.96
    Series
    0.94
    Favorite
    0.91
    Writer
    0.90
    Meanwhile
    0.90
    Activations Density 0.879%

    No Known Activations