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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. 2-RES-JB
    11. 3794
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    Explanations

    technology-related acronyms

    oai_token-act-pair · gpt-3.5-turbo

    references to CVs (curricula vitae) and related documentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bidden
    -0.77
    âķIJâķIJ
    -0.74
    phabet
    -0.67
    hold
    -0.66
    Ò
    -0.65
     Tradable
    -0.65
    give
    -0.65
    stru
    -0.64
    iciary
    -0.62
    furt
    -0.62
    POSITIVE LOGITS
    CV
    1.43
     CV
    1.26
    LV
    0.86
    illin
    0.85
    ortex
    0.83
    LP
    0.81
    cv
    0.80
    irus
    0.77
    MI
    0.77
    III
    0.76
    Activations Density 0.009%

    No Known Activations