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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. 20450
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific objects or items that can be enumerated or categorized

    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
    ALLY
    -0.62
    ctor
    -0.61
    nee
    -0.60
    lly
    -0.59
    rick
    -0.58
     Smile
    -0.57
    Tweet
    -0.57
    lessly
    -0.56
    Harris
    -0.56
    ãĤ¶
    -0.55
    POSITIVE LOGITS
    poons
    1.25
    mith
    1.02
    hare
    0.96
     themselves
    0.93
    isters
    0.92
    ystem
    0.92
    uits
    0.91
    avers
    0.89
    leeve
    0.88
     numbered
    0.87
    Activations Density 0.514%

    No Known Activations