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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
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    Explanations

    occurrences of the word "Lake"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific geographic location, particularly the mention of lakes

    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
     comprom
    -0.74
    .</
    -0.72
     abdom
    -0.68
    erent
    -0.67
    acters
    -0.67
     scanner
    -0.66
     POLIT
    -0.66
    SEC
    -0.65
    yss
    -0.64
    !/
    -0.64
    POSITIVE LOGITS
     Lake
    3.70
    Lake
    3.03
     lake
    2.45
     Lakes
    2.17
     lakes
    2.08
    lake
    1.96
     River
    1.58
     Creek
    1.53
     Glacier
    1.36
     Sioux
    1.33
    Activations Density 0.014%

    No Known Activations