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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. 11-RES-JB
    6. 15855
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    Explanations

    phrases related to time passing or actions being done repeatedly

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "to be."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Stay
    -0.61
    ãĥĩ
    -0.58
     relates
    -0.58
    onnaissance
    -0.57
     traged
    -0.56
     omit
    -0.56
     Photographer
    -0.55
    iere
    -0.54
    mist
    -0.54
     Cabin
    -0.54
    POSITIVE LOGITS
     ready
    1.23
     done
    1.14
     finished
    1.10
     gone
    1.08
     satisfied
    1.04
     exhausted
    1.00
     sufficiently
    0.90
     halfway
    0.89
     convinced
    0.86
     bored
    0.85
    Activations Density 0.165%

    No Known Activations