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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. 22185
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    INDEX
    Explanations

    sentences expressing a negative or unfortunate outcome

    oai_token-act-pair · gpt-3.5-turbo

    expressions of regret or disappointment

    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
    Not in Any Lists

    No Comments

    Negative Logits
    arnaev
    -0.72
    ĸļ
    -0.72
    addons
    -0.70
    afort
    -0.69
    ingen
    -0.67
    arthed
    -0.66
    azi
    -0.64
    aeda
    -0.64
    76561
    -0.63
    rouse
    -0.62
    POSITIVE LOGITS
     enough
    0.93
    ,
    0.84
    ,...
    0.81
     there
    0.69
    ,,
    0.69
     however
    0.68
     though
    0.67
     alas
    0.67
    ,.
    0.66
    terday
    0.65
    Activations Density 0.042%

    No Known Activations