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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
    11. 5366
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    Explanations

    measurements in millimeters

    oai_token-act-pair · gpt-3.5-turbo

    measurements specified in millimeters

    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
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.83
    draft
    -0.79
    heid
    -0.75
    posted
    -0.73
    bidden
    -0.73
    hran
    -0.72
    places
    -0.71
    lyn
    -0.71
    Denver
    -0.71
    leased
    -0.70
    POSITIVE LOGITS
     mm
    0.97
    ORPG
    0.92
     earthqu
    0.87
     eleph
    0.83
    ailability
    0.79
     diam
    0.75
    catentry
    0.75
    itted
    0.74
     kg
    0.74
     diameter
    0.74
    Activations Density 0.007%

    No Known Activations