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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. 15196
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    Explanations

    references to medical conditions related to bones

    oai_token-act-pair · gpt-3.5-turbo

    references to bone health and related medical conditions

    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
    eanor
    -0.75
    committee
    -0.72
    olitan
    -0.71
    atcher
    -0.69
     Editorial
    -0.69
     Emerging
    -0.68
    ersive
    -0.67
    sers
    -0.66
    inel
    -0.66
    arro
    -0.66
    POSITIVE LOGITS
     marrow
    1.62
    Bone
    1.23
    bone
    1.21
    bones
    1.09
     fide
    1.07
     bones
    1.02
     bone
    1.00
    clad
    0.93
     fractures
    0.90
     Bone
    0.90
    Activations Density 0.007%

    No Known Activations