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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. 7-RES-JB
    11. 24145
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    Explanations

    phrases or keywords related to technology or educational institutions with the abbreviation 'ST'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific institutions or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.98
    glers
    -0.73
    pas
    -0.72
    ical
    -0.70
    hower
    -0.69
    manship
    -0.68
    metry
    -0.67
    mits
    -0.66
    dylib
    -0.66
    flies
    -0.65
    POSITIVE LOGITS
    REAM
    1.21
    DERR
    1.19
    UFF
    1.12
    OCK
    1.08
    ALK
    0.98
    AY
    0.97
    RE
    0.97
    ACK
    0.96
    AND
    0.96
    ILL
    0.96
    Activations Density 0.016%

    No Known Activations