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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. 24389
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    Explanations

    phrases expressing disappointment, disapproval, or outrage

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disappointment or outrage

    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
    aukee
    -0.88
     exting
    -0.83
     pione
    -0.75
    ById
    -0.75
    incial
    -0.70
    ounding
    -0.69
    ă
    -0.69
    ãĤ¡
    -0.69
    đ
    -0.69
     RandomRedditor
    -0.68
    POSITIVE LOGITS
     someone
    1.11
     somebody
    1.02
     anyone
    0.95
     nobody
    0.94
     so
    0.90
     such
    0.85
     anybody
    0.84
     they
    0.79
     people
    0.76
     we
    0.75
    Activations Density 0.131%

    No Known Activations