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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. 6-RES-JB
    11. 14897
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    INDEX
    Explanations

    phrases indicating a need for specific actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating necessity or obligation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.75
    furt
    -0.71
    Fra
    -0.69
     Lotus
    -0.69
    urous
    -0.68
    binding
    -0.67
    Choice
    -0.64
    mode
    -0.63
     Coff
    -0.63
    ById
    -0.63
    POSITIVE LOGITS
     clarify
    1.00
     keep
    0.98
     rethink
    0.94
     establish
    0.94
     invest
    0.94
     be
    0.94
     revisit
    0.91
     hurry
    0.91
     improve
    0.90
     weigh
    0.89
    Activations Density 0.093%

    No Known Activations