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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. 4854
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    Explanations

    phrases related to specific characters or historical figures

    oai_token-act-pair · gpt-3.5-turbo

    the recurring character "½" in different contexts within the text

    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
    EStreamFrame
    -0.77
     unin
    -0.67
    merce
    -0.67
    ItemImage
    -0.66
     Flavoring
    -0.66
     resulting
    -0.63
     interf
    -0.62
    erald
    -0.61
    bucks
    -0.60
    raints
    -0.60
    POSITIVE LOGITS
    ½
    1.35
    âĶĢâĶĢ
    1.02
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.94
    ¼
    0.85
    lement
    0.81
    âĶĢâĶĢâĶĢâĶĢ
    0.79
    ħ
    0.78
    LOG
    0.76
    âĶĢ
    0.76
    Ĺ
    0.75
    Activations Density 0.003%

    No Known Activations