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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. 3-RES-JB
    11. 17769
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    Explanations

    specific language related to rules, regulations, or criteria that must be met

    oai_token-act-pair · gpt-3.5-turbo

    references to criteria or standards that must be met

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocent
    -0.79
    vironment
    -0.75
    stocks
    -0.71
     Atmosp
    -0.69
    luaj
    -0.69
    geon
    -0.69
    thumbnails
    -0.68
    lique
    -0.68
    stock
    -0.68
    oscope
    -0.67
    POSITIVE LOGITS
     requirement
    1.08
     requirements
    1.07
     imposed
    0.95
     compliance
    0.85
     prerequisite
    0.84
     requiring
    0.83
     complying
    0.82
     required
    0.82
    igslist
    0.79
    Requirements
    0.79
    Activations Density 0.013%

    No Known Activations