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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. 7-RES-JB
    11. 1647
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    Explanations

    technical terms or keywords related to molecular biology or scientific research

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and formatting in scientific or technical writing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    boro
    -0.75
    manship
    -0.68
    quer
    -0.66
     Vote
    -0.65
     catches
    -0.63
    smanship
    -0.63
    geries
    -0.63
     mistress
    -0.62
     untouched
    -0.62
     catch
    -0.61
    POSITIVE LOGITS
     Therefore
    0.93
     Conversely
    0.91
     Alternatively
    0.89
     Furthermore
    0.88
     Brief
    0.88
     Moreover
    0.88
    Therefore
    0.88
     Hence
    0.85
     Similarly
    0.84
     Thus
    0.82
    Activations Density 0.129%

    No Known Activations