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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. 1-RES-JB
    11. 6972
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    INDEX
    Explanations

    references to cathedrals, especially highlighting their architectural or historical significance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cathedrals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berman
    -0.83
    ../
    -0.79
    PK
    -0.78
    bang
    -0.78
    hab
    -0.76
    à¸
    -0.76
    OTO
    -0.75
    Remote
    -0.75
    ACTION
    -0.74
    ggle
    -0.73
    POSITIVE LOGITS
     cathedral
    1.35
     Cathedral
    1.28
     choir
    1.08
     priest
    1.06
    hedral
    1.03
     parish
    1.01
     chapel
    1.00
     priests
    0.97
    iscopal
    0.93
     clergy
    0.93
    Activations Density 0.016%

    No Known Activations