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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. 6-RES-JB
    11. 23830
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    Explanations

    statistical data or research findings in various domains

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "found" indicating discoveries in research studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStreamFrame
    -0.63
     Bride
    -0.62
    estate
    -0.59
    edited
    -0.58
     gate
    -0.58
     imagin
    -0.57
     alias
    -0.57
     Agric
    -0.57
    via
    -0.57
    pun
    -0.56
    POSITIVE LOGITS
    -+-+
    0.79
    oley
    0.75
    uments
    0.74
     conclusive
    0.72
    Leaks
    0.72
    INGS
    0.71
     Aires
    0.68
    itutional
    0.68
    iveness
    0.67
     evidence
    0.67
    Activations Density 0.055%

    No Known Activations