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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. 8-RES-JB
    11. 23441
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    Explanations

    relevant information related to incorrect actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating errors or undesirable situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xtap
    -0.84
    rn
    -0.75
    Indust
    -0.74
    Widget
    -0.73
    INA
    -0.73
    aws
    -0.73
    wx
    -0.72
    oku
    -0.72
    rehens
    -0.72
    Billy
    -0.72
    POSITIVE LOGITS
     configuration
    0.81
     portion
    0.80
     composition
    0.80
    etheless
    0.78
     ones
    0.77
     way
    0.76
     manner
    0.76
     approach
    0.75
     portfolio
    0.75
     base
    0.74
    Activations Density 0.387%

    No Known Activations