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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. 7070
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    INDEX
    Explanations

    instances where actions or concepts are explicitly demonstrated or shown

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "demonstrate" or its variations

    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
    ole
    -0.75
    lake
    -0.73
    etheless
    -0.71
    leans
    -0.68
    occup
    -0.68
    agan
    -0.67
    zone
    -0.66
    dating
    -0.66
    lah
    -0.65
    col
    -0.65
    POSITIVE LOGITS
     demonstrating
    1.05
     demonstrates
    0.98
     demonstration
    0.95
     demonstrate
    0.93
    =>
    0.87
     demonstrations
    0.84
     displays
    0.82
     demonstr
    0.81
    iary
    0.79
    âĶĢ
    0.79
    Activations Density 0.009%

    No Known Activations