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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. 20284
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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

    No Comments

    Negative Logits
     unfocusedRange
    -0.76
    interrupted
    -0.73
    abled
    -0.68
    risome
    -0.68
    ingen
    -0.68
    ustomed
    -0.65
    protect
    -0.64
    Alert
    -0.64
    tools
    -0.63
    ancies
    -0.63
    POSITIVE LOGITS
    imester
    0.90
     foremost
    0.78
     volley
    0.77
    ttle
    0.71
     Misty
    0.70
     introdu
    0.70
    endment
    0.66
    ousand
    0.64
     hurdle
    0.64
     accuser
    0.64
    Activations Density 0.175%

    No Known Activations