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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
    11. 9473
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    Explanations

    sources or origins of information or objects

    oai_token-act-pair · gpt-3.5-turbo

    references to sources of information or authority

    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
    hops
    -0.73
    ornings
    -0.73
    cases
    -0.71
    ttes
    -0.68
    rir
    -0.66
    manship
    -0.66
    kees
    -0.64
    aund
    -0.62
     Tayyip
    -0.61
    tta
    -0.61
    POSITIVE LOGITS
     source
    3.81
     sources
    2.80
    source
    2.55
     Sources
    2.23
     Source
    2.18
    ources
    1.93
     sourcing
    1.87
    Source
    1.82
    Sources
    1.80
     sourced
    1.71
    Activations Density 0.022%

    No Known Activations