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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. 3-RES-JB
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    Explanations

    references to journalism and journalists

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of "journalism" and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fy
    -0.76
    eric
    -0.72
    sg
    -0.69
    imus
    -0.69
    ergy
    -0.68
    asse
    -0.66
    resses
    -0.64
    illard
    -0.64
    ranged
    -0.64
    ggie
    -0.63
    POSITIVE LOGITS
     journalism
    1.13
     Journalism
    1.02
     Journalists
    0.91
     journalists
    0.78
     journalist
    0.76
     Reporting
    0.75
     gallery
    0.71
     columnist
    0.70
     profession
    0.70
    journal
    0.69
    Activations Density 0.015%

    No Known Activations