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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. 17650
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    Explanations

    related terms to locations or places, specifically focusing on cities or regions

    oai_token-act-pair · gpt-3.5-turbo

    references to San Francisco or its abbreviations

    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
     Ballistic
    -0.69
     Psy
    -0.64
    akery
    -0.64
    Topics
    -0.61
    Hack
    -0.59
     Beet
    -0.59
     Dickens
    -0.58
     Starr
    -0.58
     Blitz
    -0.58
     Explan
    -0.58
    POSITIVE LOGITS
    itary
    0.82
    aquin
    0.81
    ilipp
    0.78
    isco
    0.75
    Franc
    0.73
    union
    0.70
    andro
    0.70
    atana
    0.70
    士
    0.69
    rito
    0.69
    Activations Density 0.074%

    No Known Activations