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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. 11-RES-JB
    11. 4849
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    Explanations

    words related to technical topics, especially those related to technology and architecture

    oai_token-act-pair · gpt-3.5-turbo

    instances of sources or citations in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iter
    -0.64
    ifier
    -0.63
     comprom
    -0.60
    esville
    -0.59
    animous
    -0.59
     Whitman
    -0.57
    ifiable
    -0.57
     Clarkson
    -0.56
    olas
    -0.56
    es
    -0.56
    POSITIVE LOGITS
    ::::::::
    1.02
    ::::
    0.90
    Ħ¢
    0.85
    ,,,,,,,,
    0.85
    ,,,,
    0.83
    Pa
    0.80
    selves
    0.80
    soon
    0.77
     teasp
    0.77
    -.
    0.76
    Activations Density 0.055%

    No Known Activations