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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. 15164
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    Explanations

    hyphenated phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to hands-on experiences or activities

    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
     pens
    -0.60
     Jacket
    -0.59
     pulp
    -0.59
     coat
    -0.59
     frig
    -0.58
     Coat
    -0.58
     gloom
    -0.58
     Defendants
    -0.57
     Ala
    -0.57
     Cruiser
    -0.57
    POSITIVE LOGITS
    everal
    1.14
    ettings
    1.10
    hift
    1.07
    peed
    1.05
    sembly
    1.03
    uper
    0.99
    ource
    0.99
    hell
    0.96
    olutions
    0.96
    sein
    0.94
    Activations Density 0.058%

    No Known Activations