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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. 6-RES-JB
    11. 12164
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    Explanations

    height measurements expressed in feet and inches

    oai_token-act-pair · gpt-3.5-turbo

    measurements related to height

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uner
    -0.74
     Learns
    -0.74
    oys
    -0.73
     Pharmaceutical
    -0.72
    ktop
    -0.72
    icable
    -0.72
    actionDate
    -0.71
     Sapphire
    -0.70
    ictions
    -0.69
     Canaver
    -0.66
    POSITIVE LOGITS
     tall
    0.86
     floppy
    0.74
     stomp
    0.72
    quarters
    0.67
    er
    0.67
     angled
    0.66
     billboard
    0.65
     bunker
    0.65
     pole
    0.64
    tall
    0.64
    Activations Density 0.010%

    No Known Activations