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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. 7-RES-JB
    11. 6450
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    INDEX
    Explanations

    descriptive adjectives followed by a noun

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to effectiveness and social dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewed
    -0.61
    Copyright
    -0.51
    ranged
    -0.51
     Released
    -0.50
    ruff
    -0.48
    OTUS
    -0.48
    î
    -0.47
    âĢİ
    -0.47
    osp
    -0.46
     pics
    -0.45
    POSITIVE LOGITS
     tremend
    0.63
     enthusi
    0.62
     synergy
    0.55
     millenn
    0.54
     perspect
    0.53
     subtle
    0.53
     tremendously
    0.51
     Lauder
    0.50
     paradox
    0.50
     continual
    0.50
    Activations Density 1.411%

    No Known Activations