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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. 20370
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    Explanations

    articles with a special character blending in

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical data or measurements related to various subjects

    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
     prosec
    -0.85
     aven
    -0.80
     neighb
    -0.75
     undecided
    -0.74
     pard
    -0.74
     tornado
    -0.73
     rebell
    -0.73
     crumble
    -0.71
     unsolved
    -0.71
     pudding
    -0.70
    POSITIVE LOGITS
    SPONSORED
    1.90
    Specifically
    1.80
    According
    1.75
    Among
    1.75
    Each
    1.68
    Initially
    1.66
    Using
    1.65
    The
    1.65
    Unlike
    1.65
    Its
    1.63
    Activations Density 0.378%

    No Known Activations