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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. 12212
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    Explanations

    words related to valuable items or concepts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "value" and its variants

    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
    pread
    -0.90
     EntityItem
    -0.69
    omes
    -0.68
    liness
    -0.67
    steps
    -0.66
    sein
    -0.65
    Publisher
    -0.64
    washer
    -0.63
    Wan
    -0.62
     oven
    -0.62
    POSITIVE LOGITS
    uations
    1.14
    uation
    1.08
    ibr
    1.04
    ueless
    0.98
    entin
    0.96
    idation
    0.96
    uate
    0.96
    anche
    0.95
    uable
    0.94
    uating
    0.94
    Activations Density 0.020%

    No Known Activations