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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. 9135
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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
     Clicker
    -0.66
     catapult
    -0.66
     Elephant
    -0.65
     Zheng
    -0.64
     produ
    -0.63
     cru
    -0.63
     rehabilit
    -0.63
     guided
    -0.62
     shovel
    -0.59
     Zamb
    -0.59
    POSITIVE LOGITS
    #$
    1.35
    gmail
    1.24
    yahoo
    1.09
    gs
    0.93
    email
    0.92
    andy
    0.90
    gt
    0.90
    mic
    0.90
    ls
    0.90
    tm
    0.89
    Activations Density 0.013%

    No Known Activations