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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. 5532
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    Explanations

    words related to power sources like "battery-powered" or "solar-powered"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to renewable energy sources

    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
     Von
    -0.70
    eda
    -0.68
    Var
    -0.68
    eb
    -0.68
     Niet
    -0.67
    sen
    -0.66
    roma
    -0.66
     Hume
    -0.65
    arat
    -0.64
     Malt
    -0.64
    POSITIVE LOGITS
    powered
    1.14
    agascar
    0.95
     powered
    0.93
    nesday
    0.87
    racuse
    0.85
    undai
    0.80
     showc
    0.78
     handc
    0.78
    ratulations
    0.76
     powering
    0.76
    Activations Density 0.006%

    No Known Activations