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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
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    Explanations

    words related to bones and bone health

    oai_token-act-pair · gpt-3.5-turbo

    references to bones and bone-related health issues

    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
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    Negative Logits
     Applicant
    -0.76
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    -0.75
     Editorial
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    POSITIVE LOGITS
     marrow
    1.70
    bone
    1.32
    Bone
    1.31
     bone
    1.20
    bones
    1.12
     bones
    1.09
     fide
    1.09
     Bone
    0.96
    bags
    0.92
    clad
    0.92
    Activations Density 0.005%

    No Known Activations