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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. 7487
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    Explanations

    descriptions of people

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe individuals, particularly those beginning with "who."

    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
    tones
    -0.65
    PD
    -0.62
     Confederation
    -0.62
    rock
    -0.61
    case
    -0.60
     Aden
    -0.59
    etting
    -0.58
    disk
    -0.57
     Speaking
    -0.57
     ISBN
    -0.56
    POSITIVE LOGITS
     thri
    1.05
     strives
    0.96
     combines
    0.91
     contributes
    0.88
     relies
    0.86
     spreads
    0.86
     blends
    0.86
     produces
    0.86
     awaits
    0.85
     serves
    0.85
    Activations Density 0.199%

    No Known Activations