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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. 8-RES-JB
    11. 130
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    Explanations

    actions related to physical movement and positioning

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating attempts, efforts, or actions occurring in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Founders
    -0.79
     internationally
    -0.71
     Nationwide
    -0.71
     Freem
    -0.70
    chool
    -0.69
     politic
    -0.69
     nationally
    -0.68
     municip
    -0.67
     NEC
    -0.67
    ISC
    -0.67
    POSITIVE LOGITS
    ocular
    1.00
     glare
    0.98
     startled
    0.88
     glances
    0.87
     gaze
    0.87
    angles
    0.86
    rehend
    0.84
     vibrations
    0.84
     grasp
    0.82
     escape
    0.82
    Activations Density 0.802%

    No Known Activations