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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. 9-RES-JB
    11. 4991
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    INDEX
    Explanations

    the word "because" followed by additional information or reasoning

    oai_token-act-pair · gpt-3.5-turbo

    instances of contrast and qualifiers in opinions or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    appro
    -0.69
    word
    -0.66
    aurus
    -0.66
    rave
    -0.64
    CAP
    -0.62
    ews
    -0.61
    leted
    -0.61
    pire
    -0.58
    romancer
    -0.57
    verse
    -0.57
    POSITIVE LOGITS
     because
    1.55
    because
    1.46
     Because
    1.40
    Because
    1.33
     due
    1.13
    cause
    1.12
     secondly
    1.11
     bc
    1.05
     bec
    1.01
     owing
    0.98
    Activations Density 0.237%

    No Known Activations