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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. 11-RES-JB
    11. 871
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    Explanations

    phrases related to tragic events involving shootings and terrorism

    oai_token-act-pair · gpt-3.5-turbo

    references to mass shootings and related incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AppData
    -0.77
    izons
    -0.75
     Painter
    -0.75
    ,,,,
    -0.75
    wcsstore
    -0.69
    BuyableInstoreAndOnline
    -0.68
    */(
    -0.67
    ellen
    -0.66
    keeping
    -0.65
    áµ
    -0.64
    POSITIVE LOGITS
     shootings
    1.64
     bombings
    1.61
     murders
    1.55
     massacre
    1.48
     killings
    1.44
     attacks
    1.44
     bombing
    1.40
     attack
    1.40
     stabbing
    1.37
     slay
    1.35
    Activations Density 0.478%

    No Known Activations