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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. 17376
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names within the text

    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
    ulner
    -0.63
    wcs
    -0.61
     strutConnector
    -0.60
    ittees
    -0.59
     consortium
    -0.58
    vernight
    -0.58
    aughtered
    -0.56
     industrial
    -0.56
     petroleum
    -0.55
     SECTION
    -0.55
    POSITIVE LOGITS
    's
    1.02
     himself
    1.00
     herself
    0.88
     Productions
    0.80
     loves
    0.77
    mania
    0.77
     enjoys
    0.76
     knows
    0.76
     likes
    0.75
    ovich
    0.74
    Activations Density 0.268%

    No Known Activations