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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. 5335
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    INDEX
    Explanations

    proper nouns of locations or organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of place names and locations

    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
    vana
    -0.87
    ramid
    -0.84
    akable
    -0.83
    wana
    -0.82
    thood
    -0.81
    eper
    -0.81
    idi
    -0.80
    otomy
    -0.80
    omal
    -0.78
    mine
    -0.77
    POSITIVE LOGITS
    shire
    1.09
     County
    0.94
     Municip
    0.87
     Cathedral
    0.85
     Heights
    0.85
     Parish
    0.84
     Armory
    0.84
     Township
    0.83
     skyline
    0.82
     Municipal
    0.81
    Activations Density 0.078%

    No Known Activations