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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. 12-RES-JB
    11. 2343
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    INDEX
    Explanations

    phrases related to the beginning or initiation of actions or events

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    verbs that indicate the initiation or start of actions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.76
    atu
    -0.74
    eteria
    -0.70
    warts
    -0.69
    inates
    -0.67
    LP
    -0.67
    KR
    -0.66
    =-=-=-=-
    -0.66
    inkle
    -0.63
    acly
    -0.62
    POSITIVE LOGITS
     noticing
    1.28
     experimenting
    1.02
     complaining
    1.01
     realizing
    1.01
     wondering
    0.98
     receiving
    0.97
     experiencing
    0.96
     questioning
    0.96
     behaving
    0.95
     exhibiting
    0.94
    Activations Density 0.068%

    No Known Activations