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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. 2277
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    Explanations

    proper nouns related to a specific person or location, potentially related to news and politics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ston" as part of names or terms

    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
    glers
    -0.75
    代
    -0.70
    giving
    -0.70
     mileage
    -0.69
     Pwr
    -0.67
    TIT
    -0.67
     STATS
    -0.66
    lete
    -0.66
    Magikarp
    -0.65
    metic
    -0.64
    POSITIVE LOGITS
    ston
    0.95
     Churchill
    0.93
    ews
    0.89
    enberg
    0.80
    ian
    0.79
    igan
    0.78
    igans
    0.78
    ishing
    0.77
    ium
    0.77
    ese
    0.76
    Activations Density 0.017%

    No Known Activations