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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. 3673
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    INDEX
    Explanations

    adjectives describing intensity or magnitude

    oai_token-act-pair · gpt-3.5-turbo

    clauses indicating something is not as significant as it seems

    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
    ãĥij
    -0.67
    姫
    -0.66
    ãĥ¡
    -0.63
    ãĥ«
    -0.63
    Ö¼
    -0.62
    ãĥł
    -0.61
    ãĤ·ãĥ£
    -0.60
    ington
    -0.60
    Īè
    -0.59
     excerpts
    -0.59
    POSITIVE LOGITS
    ching
    0.83
    ched
    0.82
    cher
    0.76
     pesky
    0.71
     kind
    0.71
    same
    0.70
    fortable
    0.69
     knack
    0.68
     same
    0.68
    interstitial
    0.67
    Activations Density 0.117%

    No Known Activations