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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. 1-RES-JB
    11. 16313
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    Explanations

    strings related to data or information being shown or presented

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to evidence or demonstrations of data and results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.87
    theless
    -0.76
    iche
    -0.75
    pton
    -0.72
    ascus
    -0.71
    eco
    -0.70
     unle
    -0.67
    icultural
    -0.66
     heck
    -0.65
    plete
    -0.64
    POSITIVE LOGITS
    shows
    1.11
    manship
    1.10
    heet
    1.03
     Shows
    0.92
    biz
    0.89
     shows
    0.89
    Hide
    0.84
    runners
    0.83
     SHOW
    0.80
    hide
    0.78
    Activations Density 0.023%

    No Known Activations