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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. 9-RES-JB
    11. 1848
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    INDEX
    Explanations

    references to falling or throwing from a height

    oai_token-act-pair · gpt-3.5-turbo

    references to height or elevation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    relations
    -0.81
    otide
    -0.76
    ochemistry
    -0.75
    actionDate
    -0.73
    iliate
    -0.73
    Write
    -0.71
    uncture
    -0.70
     seasoning
    -0.69
    PN
    -0.69
    $$$$
    -0.68
    POSITIVE LOGITS
     cliffs
    1.52
     tallest
    1.39
     skysc
    1.39
     towering
    1.34
     towers
    1.26
     cliff
    1.23
     ceilings
    1.23
     mountains
    1.21
     crane
    1.20
     heights
    1.19
    Activations Density 0.508%

    No Known Activations