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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. 9-RES-JB
    6. 11039
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    Explanations

    prepositions or conjunctions at the beginning of a phrase followed by a strong sentiment or action term towards the end of the phrase

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to cause-and-effect relationships or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ounding
    -0.85
    abs
    -0.74
    isible
    -0.71
    vana
    -0.70
    egu
    -0.70
    ét
    -0.69
    ums
    -0.68
    imens
    -0.68
    aeda
    -0.68
    ophy
    -0.68
    POSITIVE LOGITS
     they
    0.99
     it
    0.84
     opted
    0.82
     reverted
    0.80
     we
    0.79
     forgot
    0.79
     he
    0.77
     became
    0.75
     there
    0.75
     manages
    0.75
    Activations Density 0.466%

    No Known Activations