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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. 13184
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    Explanations

    statements or quotations made by individuals

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically commas and colons

    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
    bors
    -0.84
    apeake
    -0.83
    thia
    -0.81
    meyer
    -0.78
    .--
    -0.77
    center
    -0.74
    imize
    -0.74
     Moines
    -0.73
    :(
    -0.73
    ¶
    -0.71
    POSITIVE LOGITS
     whilst
    1.60
     emphas
    1.35
     fue
    1.35
     Whilst
    1.34
     organised
    1.31
     fuelled
    1.31
     organisers
    1.26
     recognise
    1.23
     apologise
    1.22
     organising
    1.21
    Activations Density 0.518%

    No Known Activations