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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. 20315
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    Explanations

    phrases related to specific entities or individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to various groups or categories of people or entities

    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
    verages
    -0.67
    politics
    -0.63
     Volks
    -0.62
     ..........
    -0.61
    vich
    -0.61
     Everett
    -0.60
    livion
    -0.59
     Greens
    -0.57
    Station
    -0.56
     Hayward
    -0.56
    POSITIVE LOGITS
    mith
    1.02
    hips
    0.93
    hops
    0.88
    uggest
    0.82
    hin
    0.76
    creen
    0.73
    irtual
    0.70
    poons
    0.70
    behind
    0.69
    pec
    0.69
    Activations Density 0.259%

    No Known Activations