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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. 21201
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    INDEX
    Explanations

    phrases signaling a call to action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating urgency or the need for action

    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
    avorite
    -0.87
    riad
    -0.83
    ramid
    -0.79
    ourt
    -0.74
    VIDIA
    -0.70
     debit
    -0.68
    ortium
    -0.66
    untled
    -0.64
    eanor
    -0.64
     ensu
    -0.64
    POSITIVE LOGITS
    frames
    1.05
    borne
    0.90
    zone
    0.84
    frame
    0.81
    wise
    0.78
     consuming
    0.78
    bell
    0.77
     Spiral
    0.75
    ãĥ¼ãĥ«
    0.72
    keeping
    0.71
    Activations Density 0.060%

    No Known Activations