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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. 12-RES-JB
    11. 2360
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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-mini
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     negotiators
    -0.71
    roit
    -0.70
     salute
    -0.69
     controlling
    -0.67
    olph
    -0.61
    emphasis
    -0.60
     uncond
    -0.60
     horns
    -0.58
    piece
    -0.58
     unconditional
    -0.57
    POSITIVE LOGITS
     archives
    1.50
     folders
    1.28
     directories
    1.23
     drawer
    1.20
     bins
    1.16
     archive
    1.14
     shelves
    1.14
     magazines
    1.12
     databases
    1.12
     Archives
    1.10
    Activations Density 0.423%

    No Known Activations