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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. 9-RES-JB
    11. 17392
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    INDEX
    Explanations

    instances of verbs related to observation or change over time

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the occurrence or frequency of events

    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
    trap
    -0.71
    Newsletter
    -0.68
    heit
    -0.65
    externalActionCode
    -0.65
    SOURCE
    -0.64
    cious
    -0.64
    alias
    -0.63
     premise
    -0.62
    Truth
    -0.61
     contrace
    -0.61
    POSITIVE LOGITS
    awed
    1.00
    dust
    1.00
     firsthand
    0.99
     drastic
    0.81
     improvements
    0.81
     improvement
    0.77
     declines
    0.76
     fewer
    0.75
    eeper
    0.73
     gradual
    0.73
    Activations Density 0.090%

    No Known Activations