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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. 0-RES-JB
    11. 1298
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    Explanations

    words related to medical conditions or health

    oai_token-act-pair · gpt-3.5-turbo

    the letter "H" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     slic
    -0.63
     tasting
    -0.60
     rebirth
    -0.59
     pat
    -0.59
     cruising
    -0.59
    ãĥĥãĤ¯
    -0.58
     nort
    -0.57
     smelling
    -0.56
     dispel
    -0.56
     blender
    -0.56
    POSITIVE LOGITS
    H
    3.36
    HA
    1.88
    HO
    1.85
    HI
    1.80
     H
    1.78
    HH
    1.78
    HR
    1.74
    HM
    1.73
    HB
    1.71
    h
    1.70
    Activations Density 0.029%

    No Known Activations