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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12046
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    Explanations

    opportunities or situations where something can be used effectively or benefited from to achieve an advantage

    oai_token-act-pair · gpt-3.5-turbo

    mentions of taking advantage of situations or opportunities

    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
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    No Comments

    Negative Logits
     brace
    -0.60
     haz
    -0.58
     Dough
    -0.58
    liam
    -0.57
    inguishable
    -0.55
     fireball
    -0.55
    tra
    -0.55
    don
    -0.55
    jah
    -0.54
    ©¶æ
    -0.52
    POSITIVE LOGITS
     thereof
    1.06
    fully
    0.88
    ously
    0.87
     of
    0.87
    oise
    0.84
    FUL
    0.82
    ful
    0.74
    Of
    0.72
    efully
    0.71
     Flavoring
    0.70
    Activations Density 0.032%

    No Known Activations