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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

    words related to investigative work or journalism

    oai_token-act-pair · gpt-3.5-turbo

    mentions of investigative journalism or reporting

    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
    yip
    -1.11
    creen
    -0.92
    jri
    -0.88
    unin
    -0.85
    hops
    -0.82
    xus
    -0.80
    ogun
    -0.77
    warm
    -0.76
    yard
    -0.75
    olen
    -0.75
    POSITIVE LOGITS
     Investigative
    1.08
     investigative
    0.97
     Investigations
    0.96
     journalism
    0.93
     investigations
    0.93
     investigation
    0.91
     Investigation
    0.88
     probing
    0.87
     journalist
    0.81
     Journalism
    0.80
    Activations Density 0.019%

    No Known Activations