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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. 5840
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    Explanations

    references to specific time periods, particularly the mid-19th century

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods, particularly "mid" followed by a decade

    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
    edIn
    -0.88
     prejudice
    -0.65
    itsch
    -0.62
     faithfully
    -0.60
     supervised
    -0.59
     disabilities
    -0.59
    naires
    -0.59
     Rubin
    -0.59
     liking
    -0.59
     Bett
    -0.59
    POSITIVE LOGITS
    terms
    1.24
    wives
    1.15
    section
    1.13
    season
    1.11
    wife
    1.09
    century
    1.09
    western
    1.09
    sections
    1.06
    west
    1.05
    morning
    1.04
    Activations Density 0.021%

    No Known Activations