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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. 1-RES-JB
    11. 21502
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    Explanations

    names of people or places related to urban development or events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or entities related to individuals and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inyl
    -0.93
    ications
    -0.83
    ividual
    -0.80
    ues
    -0.79
    azeera
    -0.79
    reon
    -0.78
    chant
    -0.78
    leans
    -0.77
    ichick
    -0.76
    olor
    -0.76
    POSITIVE LOGITS
     Hale
    0.81
     Koen
    0.72
    pole
    0.71
    conservancy
    0.71
     Centauri
    0.70
     Hancock
    0.70
    aday
    0.70
    WAYS
    0.68
     Pwr
    0.68
    ŃĶ
    0.67
    Activations Density 0.025%

    No Known Activations