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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 22353
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    Explanations

    phrases related to trends and renditions

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with rendering or visual representation in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

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    Negative Logits
    OPS
    -0.69
     Kaufman
    -0.66
    aiman
    -0.65
    ©¶æ
    -0.64
    avez
    -0.64
    keley
    -0.64
    «ĺ
    -0.63
     cumbers
    -0.63
    Magikarp
    -0.62
     Lovecraft
    -0.61
    POSITIVE LOGITS
    ezvous
    1.54
    rend
    1.22
    erer
    1.22
    erers
    1.05
    eering
    1.03
    ing
    0.96
    ered
    0.94
    lyn
    0.87
    ers
    0.84
    ings
    0.84
    Activations Density 0.009%

    No Known Activations