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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. 23822
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to critiques or suggestions about film or media production

    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
     iPads
    -0.59
    croft
    -0.58
    ieri
    -0.57
    pler
    -0.54
     Violet
    -0.52
    373
    -0.52
     Fal
    -0.52
     fir
    -0.51
     Bruno
    -0.50
    yang
    -0.50
    POSITIVE LOGITS
    dayName
    0.65
    gemony
    0.61
    llah
    0.61
    vernment
    0.61
     clot
    0.61
    heid
    0.61
    ĵĺ
    0.61
    ikini
    0.60
    £ı
    0.58
    ollah
    0.57
    Activations Density 1.352%

    No Known Activations