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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. 10-RES-JB
    11. 4910
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uate
    -0.77
    arial
    -0.74
    ional
    -0.69
    uations
    -0.68
    ogy
    -0.68
    sson
    -0.65
    urers
    -0.63
    henko
    -0.63
    uated
    -0.63
    staking
    -0.60
    POSITIVE LOGITS
    ITNESS
    1.12
    atts
    1.10
    restling
    1.09
    ORD
    1.05
    nesday
    1.03
    ITCH
    1.03
    ashington
    1.01
    OOD
    1.01
    ifi
    1.01
    atcher
    1.00
    Activations Density 0.077%

    No Known Activations