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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. 0-RES-JB
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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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ken
    -0.74
     panel
    -0.69
     adm
    -0.68
     recall
    -0.67
     Jenkins
    -0.65
     Riley
    -0.65
     Dun
    -0.64
     exclusion
    -0.64
     Oracle
    -0.63
     graduate
    -0.62
    POSITIVE LOGITS
    Ñĭ
    4.59
    оÐ
    2.29
    и
    2.16
    о
    2.10
    Ñĥ
    2.06
    а
    2.05
    Ñı
    2.03
    е
    1.95
    ÑĮ
    1.93
    м
    1.61
    Activations Density 0.011%

    No Known Activations