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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. 9230
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    Explanations

    references to houses or buildings

    oai_token-act-pair · gpt-3.5-turbo

    words related to different forms of housing

    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
    istical
    -0.76
    izable
    -0.75
     Vaughan
    -0.75
    rams
    -0.74
    raltar
    -0.72
    ocular
    -0.71
    imated
    -0.68
    ellen
    -0.67
    icum
    -0.66
    aceous
    -0.65
    POSITIVE LOGITS
    xual
    1.27
    ouse
    1.03
    manship
    0.95
    ktop
    0.84
    idon
    0.83
    meat
    0.83
    mble
    0.71
    hots
    0.70
    OUS
    0.69
    oused
    0.69
    Activations Density 0.015%

    No Known Activations