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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. 7-RES-JB
    11. 21646
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    Explanations

    instructions or recommendations in text

    oai_token-act-pair · gpt-3.5-turbo

    phrases instructing the reader to take an action or follow a directive

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TPPStreamerBot
    -0.79
    MpServer
    -0.75
    impl
    -0.73
    bled
    -0.73
    folk
    -0.69
    oub
    -0.69
    kered
    -0.69
    gery
    -0.67
    rock
    -0.66
    alter
    -0.66
    POSITIVE LOGITS
    icio
    0.75
     patience
    0.69
     checking
    0.67
     beforehand
    0.67
     Titus
    0.66
     droid
    0.62
    !:
    0.62
     beware
    0.61
     Patrol
    0.61
     Chronicles
    0.60
    Activations Density 0.047%

    No Known Activations