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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. 13391
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    Explanations

    phrases related to the concept of visibility or realization

    oai_token-act-pair · gpt-3.5-turbo

    instances of light or illumination-related metaphors

    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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    Negative Logits
     Vaj
    -0.59
     EUR
    -0.53
     Birch
    -0.50
     fixation
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     Trojan
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     invention
    -0.48
     Frankenstein
    -0.47
     SPECIAL
    -0.46
     Avalon
    -0.45
     THE
    -0.45
    POSITIVE LOGITS
    ially
    0.67
    lene
    0.65
    leans
    0.60
    facebook
    0.58
    irming
    0.58
    ente
    0.57
    lessly
    0.57
    arent
    0.57
    idge
    0.57
    enzie
    0.57
    Activations Density 0.641%

    No Known Activations