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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. 21429
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    Explanations

    phrases related to positive or enhanced experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to user experience in various contexts

    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
    law
    -0.71
    inately
    -0.69
    inate
    -0.67
    roup
    -0.66
    cmp
    -0.66
     filings
    -0.65
    laws
    -0.63
    abad
    -0.63
    hom
    -0.61
    eye
    -0.61
    POSITIVE LOGITS
    urable
    0.87
     Remastered
    0.76
    ivity
    0.76
    iliar
    0.75
    ually
    0.75
     Experience
    0.74
     experiences
    0.73
    Capture
    0.71
    ional
    0.70
    ĸļ
    0.70
    Activations Density 0.051%

    No Known Activations