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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. 23696
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    Explanations

    proper nouns and names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and significant titles related to media and events

    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
     sqor
    -0.78
    é¾įå¥ij士
    -0.69
     IMAGES
    -0.68
     ende
    -0.66
    theless
    -0.66
     Benz
    -0.66
     thumbs
    -0.64
     RELE
    -0.64
    anwhile
    -0.63
     WARN
    -0.63
    POSITIVE LOGITS
    rage
    0.85
    istries
    0.85
    inar
    0.82
    astery
    0.77
    chu
    0.76
    etry
    0.75
    ady
    0.74
    riks
    0.73
    itars
    0.72
    raltar
    0.72
    Activations Density 0.207%

    No Known Activations