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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. 9-RES-JB
    6. 20904
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    Explanations

    details related to accidents and incidents

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to accidents or incidents involving fatalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    often
    -0.64
    erity
    -0.62
     invariably
    -0.60
    ickr
    -0.57
    always
    -0.55
    croft
    -0.54
    ghai
    -0.54
    aris
    -0.54
    cius
    -0.53
    oubted
    -0.53
    POSITIVE LOGITS
     activation
    0.53
     participant
    0.50
     Alternate
    0.49
     teamwork
    0.48
     Customers
    0.48
     sidx
    0.48
     customers
    0.47
     respectively
    0.47
     respons
    0.46
     Changed
    0.46
    Activations Density 1.860%

    No Known Activations