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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. 3-RES-JB
    11. 15652
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     scattering
    -0.69
     scatter
    -0.67
     spinning
    -0.65
     unmarked
    -0.64
     juggling
    -0.63
     stret
    -0.62
     exting
    -0.62
     hemor
    -0.61
     miscarriage
    -0.60
     tremend
    -0.59
    POSITIVE LOGITS
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    0.98
    ¬
    0.82
    £
    0.82
    ¢
    0.81
    Purchase
    0.80
    �
    0.78
    ��
    0.76
    requires
    0.75
    feat
    0.74
    ISIS
    0.73
    Activations Density 0.705%

    No Known Activations