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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. 0-RES-JB
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    Explanations

    mentions of violent acts such as killings and executions

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of violent acts and fatalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Uni
    -0.67
    vent
    -0.65
    XY
    -0.64
     refreshing
    -0.63
    joy
    -0.62
     stride
    -0.62
    Cloud
    -0.62
    UME
    -0.61
    ainer
    -0.61
    æĸ¹
    -0.61
    POSITIVE LOGITS
     killings
    3.31
     shootings
    2.90
     murders
    2.73
     homicides
    2.42
     massacres
    2.22
     executions
    2.16
     suicides
    1.97
     assass
    1.95
     deaths
    1.90
     slay
    1.85
    Activations Density 0.026%

    No Known Activations