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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 20063
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    Explanations

    semicolons used in long lists or explanations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly semicolons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ema
    -0.76
    edo
    -0.73
    ħĭ
    -0.71
    stration
    -0.68
    frac
    -0.66
    inki
    -0.66
    IDENT
    -0.66
    burgh
    -0.65
    omorphic
    -0.65
    se
    -0.64
    POSITIVE LOGITS
     moreover
    1.46
     furthermore
    1.39
     however
    1.25
     meanwhile
    1.24
     consequently
    1.22
     hence
    1.21
     nevertheless
    1.18
     alternatively
    1.17
     indeed
    1.13
     namely
    1.12
    Activations Density 0.075%

    No Known Activations