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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. 9-RES-JB
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    Explanations

    mentions of the word "To" at the beginning of sentences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "To" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     intentions
    -0.62
    raising
    -0.59
     costing
    -0.59
     intrusive
    -0.59
     exceptions
    -0.59
     forthcoming
    -0.58
     dece
    -0.58
     supervision
    -0.57
     proposals
    -0.57
    reports
    -0.56
    POSITIVE LOGITS
    ilet
    1.65
    asted
    1.29
    pping
    1.27
    ilers
    1.19
    pped
    1.17
    asting
    1.16
    asty
    1.13
    ppings
    1.11
    asters
    1.11
    iled
    1.06
    Activations Density 0.056%

    No Known Activations