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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. 8-RES-JB
    11. 22529
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    INDEX
    Explanations

    instances of things falling or dropping from a height

    oai_token-act-pair · gpt-3.5-turbo

    references to significant falls or collapses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.78
    relations
    -0.75
     seasoning
    -0.74
    gans
    -0.74
     microbi
    -0.71
    Ware
    -0.69
     fingerprint
    -0.69
    PN
    -0.68
     questionnaire
    -0.68
    iliate
    -0.67
    POSITIVE LOGITS
     cliffs
    1.40
     tallest
    1.34
     heights
    1.31
     towers
    1.30
     towering
    1.30
     skysc
    1.25
     ceilings
    1.24
     tower
    1.17
     ceiling
    1.16
     stairs
    1.15
    Activations Density 0.638%

    No Known Activations