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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. 6-RES-JB
    11. 12285
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    Explanations

    words related to fuel or fuel-related activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or terms related to competition or tournaments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hered
    -0.85
    romy
    -0.75
    rity
    -0.67
    frames
    -0.65
    isSpecialOrderable
    -0.65
    rates
    -0.62
    Downloadha
    -0.61
    skirts
    -0.61
    æĪ¦
    -0.61
    forth
    -0.60
    POSITIVE LOGITS
    oad
    0.93
    oaded
    0.93
    ounge
    0.92
    lette
    0.88
    inations
    0.83
    ocity
    0.83
    osal
    0.81
    aunch
    0.80
    ibrary
    0.78
    onge
    0.78
    Activations Density 0.018%

    No Known Activations