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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. 4-RES-JB
    11. 14247
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    Explanations

    sequential actions or events

    oai_token-act-pair · gpt-3.5-turbo

    references to sequential events or actions

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

    No Comments

    Negative Logits
    otten
    -0.71
    76561
    -0.65
     1975
    -0.62
    ocker
    -0.60
     Moor
    -0.60
    NBA
    -0.59
     Originally
    -0.58
    Fans
    -0.58
    oyal
    -0.58
    Length
    -0.57
    POSITIVE LOGITS
    yip
    0.81
    quit
    0.80
    inent
    0.76
    mits
    0.73
    livion
    0.72
    etheus
    0.71
    imester
    0.69
     tack
    0.69
    nesday
    0.69
    adesh
    0.68
    Activations Density 0.097%

    No Known Activations