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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. 8-RES-JB
    11. 23738
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    Explanations

    phrases related to violent or criminal incidents

    oai_token-act-pair · gpt-3.5-turbo

    punctuations and transitional phrases related to significant events or actions

    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
    iple
    -0.69
     Latest
    -0.66
     mum
    -0.63
    ulum
    -0.61
    morrow
    -0.59
    prise
    -0.59
    endo
    -0.58
    ribe
    -0.57
     Ratings
    -0.57
     heterogeneity
    -0.57
    POSITIVE LOGITS
     namely
    1.10
     thereby
    1.05
     resulting
    1.03
     prompting
    1.01
     causing
    0.99
     triggering
    0.92
     aka
    0.90
     implying
    0.89
     sparking
    0.88
     culminating
    0.88
    Activations Density 0.381%

    No Known Activations