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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. 9-RES-JB
    11. 22924
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    Explanations

    newspaper names and article information

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various news publication names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ours
    -0.81
     hers
    -0.74
     theirs
    -0.74
    different
    -0.72
    displayText
    -0.67
    alian
    -0.66
    wikipedia
    -0.65
    together
    -0.64
    depending
    -0.64
     yours
    -0.64
    POSITIVE LOGITS
     Editorial
    1.21
     columnist
    1.17
     Magazine
    1.08
     newspaper
    1.03
     article
    1.00
     magazine
    1.00
     Newspaper
    0.99
     Newsp
    0.99
     editorial
    0.97
     articles
    0.92
    Activations Density 0.129%

    No Known Activations