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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. 8-RES-JB
    6. 1605
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    Explanations

    phrases related to dealing with various situations or challenges

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "deal with" followed by various subjects or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGR
    -0.81
     teasp
    -0.80
    STAT
    -0.71
    chart
    -0.71
    chin
    -0.69
    etry
    -0.69
    uve
    -0.68
    jab
    -0.68
    nes
    -0.67
    wikipedia
    -0.66
    POSITIVE LOGITS
     adversity
    1.16
     pesky
    0.91
     emergencies
    0.88
     issues
    0.87
     boredom
    0.81
     crises
    0.81
     fallout
    0.80
     disabilities
    0.80
     grievances
    0.79
     difficulties
    0.79
    Activations Density 0.080%

    No Known Activations