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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. 1-RES-JB
    11. 6472
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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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    akia
    -0.75
    wagen
    -0.72
     sprint
    -0.72
     staggered
    -0.66
    ²¾
    -0.66
    erc
    -0.65
     refreshed
    -0.64
     attacker
    -0.64
     pace
    -0.64
    iery
    -0.63
    POSITIVE LOGITS
     Asked
    0.80
     According
    0.78
     Instead
    0.78
    >>\
    0.78
     Adds
    0.78
     âĢķ
    0.77
     Such
    0.77
     Speaking
    0.76
    Reviewer
    0.76
     Appears
    0.76
    Activations Density 0.074%

    No Known Activations