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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. 11-RES-JB
    11. 11425
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    INDEX
    Explanations

    names of universities, cities, and cathedrals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or landmarks associated with names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berman
    -0.83
    hower
    -0.77
    ACTION
    -0.75
    rahim
    -0.74
    NRS
    -0.72
    IGN
    -0.72
    ramer
    -0.68
    Matrix
    -0.67
    EED
    -0.64
    zee
    -0.64
    POSITIVE LOGITS
     Parish
    1.18
     Cathedral
    1.06
     Anglic
    1.01
     Episcopal
    0.99
     Basil
    0.96
     basil
    0.94
     Catholic
    0.89
     Baptist
    0.83
     Lutheran
    0.83
     parish
    0.81
    Activations Density 0.053%

    No Known Activations