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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. 4-RES-JB
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    Explanations

    references to the Newtown massacre

    oai_token-act-pair · gpt-3.5-turbo

    references to the Newtown shooting incident

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

    No Comments

    Negative Logits
    uana
    -0.83
    PLA
    -0.70
    ————————
    -0.66
     membr
    -0.65
    ATHER
    -0.64
    ORGE
    -0.63
    utic
    -0.62
    DCS
    -0.61
     heel
    -0.60
    lease
    -0.59
    POSITIVE LOGITS
    rats
    1.06
     Newtown
    0.96
    enthal
    0.88
     shootings
    0.81
    quished
    0.80
    sight
    0.79
    sted
    0.79
     Trace
    0.79
    ervatives
    0.79
    tons
    0.78
    Activations Density 0.019%

    No Known Activations