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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. 23569
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    INDEX
    Explanations

    phrases related to various situations, contexts, and conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to various situations or conditions

    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
    azines
    -0.77
    cit
    -0.67
    cot
    -0.67
    ission
    -0.66
    ipedia
    -0.66
    ithe
    -0.65
    ools
    -0.65
    az
    -0.62
    dos
    -0.62
    agy
    -0.62
    POSITIVE LOGITS
     unfolding
    1.08
     quo
    0.98
     wors
    0.90
     situation
    0.90
     worsened
    0.89
     Situation
    0.87
     unfolded
    0.84
     surrounding
    0.84
     unfold
    0.78
     confronting
    0.77
    Activations Density 0.086%

    No Known Activations