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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. 10213
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    Explanations

    phrases describing issues or problems

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating cause and effect relationships

    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
    ether
    -0.74
    lex
    -0.70
    thing
    -0.69
    asking
    -0.65
     nods
    -0.65
    ivery
    -0.64
    BSD
    -0.63
    ript
    -0.63
    iver
    -0.63
    heid
    -0.61
    POSITIVE LOGITS
     caused
    1.37
     plague
    1.36
     arose
    1.27
     plagued
    1.24
     arise
    1.21
     plag
    1.20
     stemmed
    1.13
     resulted
    1.11
     engulf
    1.10
     occurred
    1.09
    Activations Density 0.198%

    No Known Activations