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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. 4-RES-JB
    6. 8350
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    INDEX
    Explanations

    directives or instructions emphasizing limits or constraints

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating limitations or constraints

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

    No Comments

    Negative Logits
    ult
    -0.72
    chwitz
    -0.65
     Dru
    -0.62
    ameron
    -0.62
    itch
    -0.61
    ennes
    -0.61
     BDS
    -0.61
    ellation
    -0.60
    umn
    -0.60
    overty
    -0.60
    POSITIVE LOGITS
     fraction
    0.75
     ONE
    0.72
    ifiable
    0.72
     spor
    0.70
     finite
    0.69
     limited
    0.68
     semblance
    0.68
     positives
    0.68
     provisional
    0.67
    soever
    0.67
    Activations Density 0.352%

    No Known Activations