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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. 20448
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    Explanations

    locations or references to rivers

    oai_token-act-pair · gpt-3.5-turbo

    references to rivers

    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
    DEF
    -0.77
    MET
    -0.76
    packages
    -0.70
    ICES
    -0.68
    fits
    -0.68
     Goldstein
    -0.68
     Accessories
    -0.67
     Cookies
    -0.66
    [/
    -0.66
     McF
    -0.64
    POSITIVE LOGITS
     river
    3.47
     River
    2.34
     creek
    2.25
     rivers
    2.20
     lake
    2.04
    River
    2.04
    river
    1.89
     waterfall
    1.58
     canal
    1.58
     waterways
    1.53
    Activations Density 0.015%

    No Known Activations