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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. 21871
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    Explanations

    descriptions of rural life and community activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of past events or actions related to a person's daily life

    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
    FBI
    -0.81
    Chicago
    -0.79
     Stanton
    -0.79
     PHI
    -0.78
     Comey
    -0.78
     Disclosure
    -0.76
     Hemisphere
    -0.75
     referenced
    -0.75
     JFK
    -0.75
     Statements
    -0.75
    POSITIVE LOGITS
     villagers
    1.63
     village
    1.39
     labou
    1.36
     villages
    1.35
     hut
    1.30
     bamboo
    1.23
     rice
    1.22
     irrig
    1.15
     subsistence
    1.14
     farming
    1.11
    Activations Density 0.691%

    No Known Activations