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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
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    Explanations

    instances of the word "Clinton"

    oai_token-act-pair · gpt-3.5-turbo

    references to Hillary Clinton

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stub
    -0.71
    »Ĵ
    -0.70
     realise
    -0.69
    dash
    -0.67
     fitt
    -0.66
    LU
    -0.66
    uni
    -0.65
     veter
    -0.64
     beard
    -0.63
     AST
    -0.63
    POSITIVE LOGITS
     Clinton
    3.51
    Clinton
    3.18
     Clintons
    2.65
    clinton
    2.40
     Hillary
    2.39
     Rodham
    2.26
    Hillary
    2.24
    INTON
    2.15
     Sanders
    1.89
     Podesta
    1.75
    Activations Density 0.031%

    No Known Activations