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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. 3-RES-JB
    11. 23804
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    Explanations

    words related to eradication or getting rid of something

    oai_token-act-pair · gpt-3.5-turbo

    references to the eradication of diseases or harmful ideologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FACE
    -0.67
    cript
    -0.65
    olas
    -0.63
    sem
    -0.61
    Lear
    -0.59
    ickr
    -0.59
    weeney
    -0.59
    equal
    -0.59
    annis
    -0.59
    rium
    -0.59
    POSITIVE LOGITS
     erad
    1.18
    ication
    0.89
     eradicate
    0.88
    icating
    0.88
    icated
    0.81
    olon
    0.80
    enance
    0.75
    icable
    0.72
    icide
    0.69
    ibia
    0.68
    Activations Density 0.011%

    No Known Activations