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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. 10-RES-JB
    6. 18433
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    Explanations

    verbs in the past tense that describe actions or states

    oai_token-act-pair · gpt-3.5-turbo

    words associated with actions or conditions in a relational context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illian
    -0.57
    ãĥ©ãĥ³
    -0.55
     crowdfunding
    -0.55
     Gamble
    -0.54
     Bauer
    -0.52
    ILA
    -0.52
     GoPro
    -0.51
    cuts
    -0.51
    ican
    -0.51
     Kills
    -0.51
    POSITIVE LOGITS
     uncond
    0.95
     incorrectly
    0.84
     correctly
    0.82
     improperly
    0.82
     indirectly
    0.82
     separately
    0.80
     irrespective
    0.80
     prematurely
    0.79
    itionally
    0.79
     manually
    0.78
    Activations Density 0.328%

    No Known Activations