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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. 7-RES-JB
    11. 2949
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    Explanations

    specific patterns of alphanumeric characters

    oai_token-act-pair · gpt-3.5-turbo

    references to specific volumes or editions of media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etooth
    -0.77
    enegger
    -0.71
    lying
    -0.69
    informed
    -0.69
    asive
    -0.68
    yson
    -0.67
    ploy
    -0.67
    arella
    -0.66
    inet
    -0.66
    minded
    -0.65
    POSITIVE LOGITS
     0004
    1.00
     Decoder
    0.88
     Volume
    0.86
    VII
    0.85
    çīĪ
    0.84
     Redux
    0.80
     Anniversary
    0.80
     anthology
    0.78
    ortment
    0.78
     Cth
    0.78
    Activations Density 0.169%

    No Known Activations