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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. 6554
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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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    hub
    -0.74
     dumps
    -0.70
    Hub
    -0.65
    aters
    -0.65
    Code
    -0.65
     converter
    -0.63
    ately
    -0.62
     tele
    -0.60
     code
    -0.60
     codes
    -0.60
    POSITIVE LOGITS
    ĸļ
    0.98
    terness
    0.97
    enance
    0.96
    ufact
    0.90
    lihood
    0.87
     afforded
    0.87
    vern
    0.85
    ¬¼
    0.84
     spared
    0.84
    xual
    0.82
    Activations Density 0.021%

    No Known Activations