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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7733
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    Explanations

    references to the city of Montreal

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Montreal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ullivan
    -0.85
    ramid
    -0.84
    ================================================================
    -0.77
    rha
    -0.75
    omaly
    -0.75
    icio
    -0.74
    abet
    -0.73
    merce
    -0.73
    acea
    -0.71
    ordinate
    -0.70
    POSITIVE LOGITS
     Canadiens
    1.15
     Gazette
    1.07
     Neurolog
    1.06
     Mirage
    0.79
     Impact
    0.77
     Protocol
    0.77
    ois
    0.76
     Canad
    0.75
     Montreal
    0.74
     Mayor
    0.74
    Activations Density 0.011%

    No Known Activations