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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. 3-RES-JB
    11. 5540
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    Explanations

    names of places and people

    oai_token-act-pair · gpt-3.5-turbo

    names of people and locations mentioned in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocene
    -1.01
    wig
    -0.80
    naire
    -0.80
    ocl
    -0.79
     Britann
    -0.74
    inals
    -0.72
    GER
    -0.70
    nih
    -0.67
    quarters
    -0.65
    amily
    -0.65
    POSITIVE LOGITS
    ually
    0.79
     Malik
    0.73
     perspect
    0.71
    Course
    0.71
    hall
    0.71
    Pool
    0.68
    aved
    0.68
    #$#$
    0.68
    rir
    0.68
    ivable
    0.67
    Activations Density 0.018%

    No Known Activations