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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. 1-RES-JB
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    Explanations

    mentions of violent crimes, particularly murders

    oai_token-act-pair · gpt-3.5-turbo

    references to murder or fatalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aque
    -0.87
    Scot
    -0.84
    ffic
    -0.81
    issue
    -0.79
    alter
    -0.73
    gran
    -0.72
    alg
    -0.72
    rium
    -0.72
    Bus
    -0.69
    CON
    -0.68
    POSITIVE LOGITS
     murdered
    1.10
    ÃįÃį
    0.93
     murdering
    0.91
    hyde
    0.84
     slain
    0.83
     adolesc
    0.81
    ãĥĥãĥī
    0.80
    nesday
    0.79
     murders
    0.77
     assassinated
    0.75
    Activations Density 0.018%

    No Known Activations