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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. 216
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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

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    Negative Logits
    aton
    -0.83
    ural
    -0.82
    attle
    -0.81
    atan
    -0.77
    aping
    -0.76
    idem
    -0.75
    bis
    -0.74
    ourning
    -0.73
    sten
    -0.73
    azard
    -0.72
    POSITIVE LOGITS
    Favorite
    0.86
     whipping
    0.82
     scenes
    0.77
     watering
    0.75
     moments
    0.75
     pokemon
    0.73
     hobbies
    0.72
     darling
    0.72
     jug
    0.72
     breakfast
    0.71
    Activations Density 0.019%

    No Known Activations