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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. 9-RES-JB
    11. 7354
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    Explanations

    scientific facts or research findings that have been reported, demonstrated, or documented

    oai_token-act-pair · gpt-3.5-turbo

    terms related to documentation or reporting of scientific findings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awk
    -0.77
    ggles
    -0.73
     impression
    -0.67
    ggies
    -0.65
    appointed
    -0.64
    iew
    -0.63
    raphics
    -0.62
    ahon
    -0.62
     attitude
    -0.61
    gencies
    -0.60
    POSITIVE LOGITS
     anecd
    0.82
     by
    0.82
     elsewhere
    0.80
     scientifically
    0.78
     clinically
    0.77
     empir
    0.70
     statically
    0.70
     Parenthood
    0.68
     globally
    0.68
     locally
    0.66
    Activations Density 0.163%

    No Known Activations