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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. 10-RES-JB
    11. 23516
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    INDEX
    Explanations

    phrases indicating the need to wait and observe for outcomes or developments

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to observation and anticipation

    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
    roud
    -0.68
    anium
    -0.66
    76561
    -0.61
     quotation
    -0.60
     vanished
    -0.59
    pired
    -0.57
     forgot
    -0.56
    ufact
    -0.56
    ickr
    -0.55
     thieves
    -0.55
    POSITIVE LOGITS
     how
    1.04
     whether
    0.96
    how
    0.84
     developments
    0.83
    whether
    0.81
     Whether
    0.76
     HOW
    0.73
     what
    0.68
     unfolds
    0.68
     tomorrow
    0.68
    Activations Density 0.135%

    No Known Activations