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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. 4-RES-JB
    11. 22161
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    Explanations

    phrases related to data analysis or calculation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "using" in various contexts

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

    No Comments

    Negative Logits
    owship
    -0.77
    uberty
    -0.75
    nesty
    -0.70
    hood
    -0.68
    brother
    -0.68
    witz
    -0.67
    cffffcc
    -0.66
    hound
    -0.64
    naire
    -0.64
     4090
    -0.64
    POSITIVE LOGITS
    FUL
    0.83
    iences
    0.78
     contacts
    0.76
     techniques
    0.72
     computers
    0.71
     combinations
    0.70
     scissors
    0.69
     tools
    0.69
    fully
    0.68
     leverage
    0.68
    Activations Density 0.046%

    No Known Activations