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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. 8-RES-JB
    11. 10627
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    Explanations

    height and weight measurements of individuals

    oai_token-act-pair · gpt-3.5-turbo

    physical measurements related to height and weight

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ezvous
    -0.76
     Siren
    -0.70
     closure
    -0.68
     Remain
    -0.67
     Warn
    -0.66
     destruct
    -0.65
    sth
    -0.65
    herry
    -0.64
    âĹ¼
    -0.63
    ingen
    -0.62
    POSITIVE LOGITS
     athlet
    1.08
     skinny
    1.04
     athleticism
    0.96
     tall
    0.92
     athletic
    0.90
     taller
    0.88
     physique
    0.87
     stature
    0.84
    Height
    0.83
     hips
    0.81
    Activations Density 0.214%

    No Known Activations