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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. 12848
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    Explanations

    phrases that contrast or emphasize a difference

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating cause and effect relationships

    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
     Heath
    -0.64
    Python
    -0.63
    ory
    -0.61
     Scene
    -0.57
    oft
    -0.56
    ct
    -0.55
     Orlando
    -0.54
     ¶
    -0.54
     Babel
    -0.52
     Mex
    -0.52
    POSITIVE LOGITS
    etheless
    1.17
     nonetheless
    1.05
     nevertheless
    0.82
    interstitial
    0.70
     downright
    0.68
     darn
    0.68
     incre
    0.67
     conclud
    0.66
    ankind
    0.66
     damn
    0.64
    Activations Density 0.159%

    No Known Activations