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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. 10072
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    Explanations

    individuals or groups taking action by speaking up about a particular issue or coming forward with information

    oai_token-act-pair · gpt-3.5-turbo

    instances of people coming forward to share their experiences or allegations

    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
    rip
    -0.92
    acca
    -0.75
     Bots
    -0.73
    tch
    -0.69
    arcity
    -0.67
    raltar
    -0.64
    lez
    -0.64
    onga
    -0.61
    gee
    -0.61
    nic
    -0.61
    POSITIVE LOGITS
    osal
    0.74
     testimonies
    0.68
    onyms
    0.65
     allegations
    0.65
     voluntarily
    0.63
     submissions
    0.63
     toile
    0.63
     pronouns
    0.63
    vier
    0.62
    olicy
    0.60
    Activations Density 0.011%

    No Known Activations