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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. 0-RES-JB
    11. 1885
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    INDEX
    Explanations

    mentions of something being new or recently acquired

    oai_token-act-pair · gpt-3.5-turbo

    the concept of freshness, especially in relation to food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    axis
    -0.84
    heid
    -0.78
    ors
    -0.76
    heses
    -0.75
     âĨij
    -0.72
     Ancest
    -0.70
    anon
    -0.66
    HUD
    -0.65
    orem
    -0.65
    orship
    -0.64
    POSITIVE LOGITS
     fresh
    3.48
    fresh
    2.43
     freshly
    2.01
     Fresh
    1.87
    Fresh
    1.87
     fres
    1.71
     stale
    1.37
     anew
    1.37
     refreshed
    1.33
     renewed
    1.30
    Activations Density 0.019%

    No Known Activations