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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. 0-RES-JB
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    Explanations

    references to the name "Simon"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Sim"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wrestling
    -0.69
    -$
    -0.68
     FD
    -0.67
     buckets
    -0.67
    leans
    -0.67
     >>
    -0.66
    UTH
    -0.64
     lineback
    -0.64
     headers
    -0.64
     disposed
    -0.64
    POSITIVE LOGITS
     Sim
    3.77
    Sim
    2.92
     sim
    2.29
     Sims
    2.14
    sim
    1.88
     SIM
    1.61
    SIM
    1.53
     Simulation
    1.46
     Simulator
    1.35
     simulator
    1.29
    Activations Density 0.018%

    No Known Activations