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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. 4025
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    Explanations

    specific mentions of receiving requests or calls from others

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "from" used to indicate sources or origins of comments or requests

    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
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.80
    puter
    -0.78
    imb
    -0.76
    inez
    -0.76
    é¾įåĸļ士
    -0.74
    imate
    -0.72
    idem
    -0.69
    redits
    -0.68
    iven
    -0.67
    nam
    -0.66
    POSITIVE LOGITS
     afar
    1.35
     abroad
    1.06
     constituents
    0.90
     inside
    0.88
     passers
    0.86
     strangers
    0.85
     within
    0.81
     donors
    0.81
     elders
    0.80
     superiors
    0.79
    Activations Density 0.114%

    No Known Activations