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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. 9-RES-JB
    11. 23504
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    Explanations

    proper nouns or names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     à¨
    -0.71
     telev
    -0.67
     iP
    -0.66
     distingu
    -0.64
    theless
    -0.63
     voc
    -0.63
     behav
    -0.62
     Offline
    -0.61
     exerc
    -0.59
     bol
    -0.59
    POSITIVE LOGITS
    obar
    0.82
    umbledore
    0.76
    iane
    0.74
    itzer
    0.74
    otti
    0.71
    igan
    0.70
    anni
    0.70
    ison
    0.69
    zon
    0.69
    itan
    0.69
    Activations Density 0.305%

    No Known Activations