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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. 7-RES-JB
    11. 2947
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    Explanations

    instances where something is composed of various parts or elements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference the concept of "making up" or forming a part of a whole

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hens
    -0.66
    iw
    -0.65
    Xi
    -0.64
    ait
    -0.63
    hiba
    -0.62
    fal
    -0.62
    luaj
    -0.60
    cgi
    -0.60
    mens
    -0.60
    send
    -0.60
    POSITIVE LOGITS
    ulates
    0.85
    ulate
    0.79
    iframe
    0.68
    swing
    0.65
    ulated
    0.64
     excuses
    0.63
    ulating
    0.63
     bedrooms
    0.60
     Provision
    0.59
    į
    0.59
    Activations Density 0.024%

    No Known Activations