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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. 8-RES-JB
    6. 16113
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    Explanations

    references to specific dates and events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate changes or developments in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     âĵĺ
    -0.75
     unless
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    unless
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    !:
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    ?:
    -0.55
     regardless
    -0.55
    "/>
    -0.55
     Nanto
    -0.54
     PLEASE
    -0.53
     whereas
    -0.53
    POSITIVE LOGITS
    )).
    0.65
    bernatorial
    0.61
    OPA
    0.60
    ©¶æ
    0.60
    gil
    0.58
     hiatus
    0.55
    alysed
    0.55
    idelines
    0.55
     earlier
    0.54
     inception
    0.54
    Activations Density 1.213%

    No Known Activations