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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 6676
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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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fig
    -0.89
    stood
    -0.85
    jury
    -0.84
    flies
    -0.81
    shr
    -0.76
    pex
    -0.73
    ball
    -0.71
    itar
    -0.70
    cloth
    -0.69
    fulness
    -0.68
    POSITIVE LOGITS
     Emails
    1.30
     Transcript
    0.91
    VERTISEMENT
    0.88
     Email
    0.79
    querque
    0.77
     Timeline
    0.76
    ļéĨĴ
    0.76
     Typ
    0.76
    CLASSIFIED
    0.72
    usalem
    0.72
    Activations Density 0.006%

    No Known Activations