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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. 19758
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    INDEX
    Explanations

    instances indicating decision-making or actions taken

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "after" indicating subsequent events or actions

    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
    ãĥ³ãĤ¸
    -0.91
    tick
    -0.86
    bard
    -0.82
    aez
    -0.76
    oire
    -0.75
     endif
    -0.75
    MENT
    -0.75
    orage
    -0.74
    âĨij
    -0.74
    Favorite
    -0.74
    POSITIVE LOGITS
     discovering
    1.23
     receiving
    1.09
     witnessing
    1.02
     revelations
    1.02
     concluding
    1.02
     noticing
    1.01
     encountering
    1.00
     failing
    0.98
     learning
    0.98
     realizing
    0.97
    Activations Density 0.110%

    No Known Activations