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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. 637
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    Explanations

    mentions of additional or special features in a product or content

    oai_token-act-pair · gpt-3.5-turbo

    references to additional content or special features

    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
    ghai
    -0.79
    iard
    -0.70
     Twain
    -0.66
     STATES
    -0.65
     Massachusetts
    -0.64
     Becker
    -0.62
     Grow
    -0.62
     Grad
    -0.62
    Fram
    -0.61
     Pillar
    -0.61
    POSITIVE LOGITS
    ordinary
    1.39
     extras
    1.25
    verted
    0.96
    extra
    0.95
     Extras
    0.92
    ilogy
    0.82
    avorite
    0.80
    visor
    0.79
    judicial
    0.79
    verts
    0.77
    Activations Density 0.008%

    No Known Activations