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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. 1-RES-JB
    11. 7582
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    Explanations

    references to bears

    oai_token-act-pair · gpt-3.5-turbo

    references to bears or the concept of bearing in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.82
    ablishment
    -0.82
    arta
    -0.76
    yrim
    -0.75
    inel
    -0.74
    apo
    -0.73
    inx
    -0.72
    ADRA
    -0.69
    eal
    -0.69
    iency
    -0.68
    POSITIVE LOGITS
     bear
    1.16
    bear
    1.08
     bears
    1.05
     borne
    0.89
    Bear
    0.86
    beit
    0.83
     Bears
    0.83
     Grizz
    0.81
     cub
    0.78
    cakes
    0.78
    Activations Density 0.007%

    No Known Activations