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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. 0-RES-JB
    11. 12120
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    Explanations

    words related to a specific company or brand

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific entity or brand named "Meg"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ague
    -0.77
     RI
    -0.76
     1916
    -0.70
    olson
    -0.68
     cardiovascular
    -0.68
    abetic
    -0.65
    Äĩ
    -0.64
    ovic
    -0.62
    abetes
    -0.62
    rafted
    -0.61
    POSITIVE LOGITS
     Meg
    3.79
    Meg
    3.18
    meg
    2.15
     meg
    1.97
     Gig
    1.50
     Mega
    1.41
     Metall
    1.29
    Mega
    1.21
     Mek
    1.14
     Mack
    1.10
    Activations Density 0.023%

    No Known Activations