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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. 0-RES-JB
    11. 2034
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    INDEX
    Explanations

    commands or prompts to take action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a call to action or requests for engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     indexed
    -0.63
     hereafter
    -0.61
    ulating
    -0.61
     bacter
    -0.60
     lamp
    -0.60
     elusive
    -0.59
     expired
    -0.59
    ious
    -0.58
    ula
    -0.58
     SPD
    -0.58
    POSITIVE LOGITS
     Take
    3.38
    Take
    2.55
    take
    2.00
     Takes
    1.68
     Consider
    1.47
     take
    1.46
     Taken
    1.46
     Taking
    1.43
     Give
    1.27
    Consider
    1.20
    Activations Density 0.012%

    No Known Activations