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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. 6-RES-JB
    11. 423
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    INDEX
    Explanations

    Mentions of life experiences or anecdotes

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences and reflections on life

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.95
     bluff
    -0.69
    cliffe
    -0.68
    ERC
    -0.65
    Ey
    -0.64
    IUM
    -0.64
    Ħ¢
    -0.63
    ribut
    -0.63
    opol
    -0.63
    seless
    -0.63
    POSITIVE LOGITS
     expectancy
    0.93
    cation
    0.84
    blood
    0.78
     cycle
    0.76
    ecycle
    0.75
     planner
    0.75
    mares
    0.72
    cycles
    0.72
     span
    0.68
    making
    0.68
    Activations Density 0.039%

    No Known Activations