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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. 19750
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    Explanations

    words related to refugees or large quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "huge" or significant impacts and events

    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
    merce
    -0.81
    nington
    -0.72
    icum
    -0.70
    nect
    -0.69
    practice
    -0.69
     toast
    -0.69
    ISION
    -0.69
    iances
    -0.68
    nesota
    -0.66
    colm
    -0.65
    POSITIVE LOGITS
    uge
    1.02
    glers
    0.87
     Refugee
    0.76
    UGE
    0.76
    llo
    0.74
    yu
    0.73
    gest
    0.72
    ãĥ¼ãĥĨãĤ£
    0.71
    ATS
    0.70
    yre
    0.70
    Activations Density 0.012%

    No Known Activations