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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. 23753
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    Explanations

    financial terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing the existence and characteristics of various entities or concepts

    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
    west
    -0.81
    iHUD
    -0.78
    ttp
    -0.72
    ipop
    -0.72
    luaj
    -0.66
    adel
    -0.65
    \\\\\\\\
    -0.64
    rower
    -0.64
    EMA
    -0.63
    osate
    -0.62
    POSITIVE LOGITS
     notoriously
    1.15
     inherently
    1.10
     everywhere
    1.08
     rarely
    1.08
     typically
    1.03
     seldom
    1.02
     often
    1.02
     prolifer
    1.00
     usually
    0.97
     plentiful
    0.96
    Activations Density 0.245%

    No Known Activations