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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. 24147
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    Explanations

    descriptions or mentions of various information-related topics, particularly pertaining to data, facts, or news

    oai_token-act-pair · gpt-3.5-turbo

    references to information

    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
    atos
    -0.71
     Parables
    -0.70
    aughs
    -0.68
    gg
    -0.65
    kus
    -0.65
    alone
    -0.64
    igham
    -0.64
    ModLoader
    -0.63
    neys
    -0.62
    atism
    -0.61
    POSITIVE LOGITS
     glean
    1.01
     overload
    0.99
     theoret
    0.94
     retrieval
    0.93
     gathered
    0.91
    arial
    0.87
     gathering
    0.84
    frame
    0.83
     dissemination
    0.81
     conveyed
    0.78
    Activations Density 0.060%

    No Known Activations