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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. 4-RES-JB
    11. 16452
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "from" in varying contexts, particularly related to statistics or data points

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

    No Comments

    Negative Logits
    clear
    -0.79
    sat
    -0.74
    grain
    -0.74
    radio
    -0.72
    ItemTracker
    -0.72
    paste
    -0.70
    important
    -0.70
    hai
    -0.69
    Important
    -0.69
    rongh
    -0.68
    POSITIVE LOGITS
     afar
    1.00
     whence
    1.00
     thence
    0.79
     baseline
    0.76
     scratch
    0.72
     conception
    0.69
     inception
    0.68
     abroad
    0.68
     1929
    0.65
     1973
    0.64
    Activations Density 0.104%

    No Known Activations