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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
    11. 1802
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    Explanations

    policy-related words and phrases related to government actions

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and references to regulations or proposals

    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
    alogue
    -0.66
    aimon
    -0.65
     Anyway
    -0.63
    alis
    -0.62
    ander
    -0.61
    monary
    -0.61
    iple
    -0.61
    ç·
    -0.60
     Instructor
    -0.60
    heter
    -0.60
    POSITIVE LOGITS
     citing
    1.31
     prompting
    1.13
     preferring
    1.10
     noting
    1.08
     alleging
    1.06
     sparking
    1.06
     saying
    1.04
     accusing
    1.04
     claiming
    1.01
     triggering
    1.00
    Activations Density 0.354%

    No Known Activations