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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. 2-RES-JB
    11. 11254
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    Explanations

    towns or locations mentioned in the document

    oai_token-act-pair · gpt-3.5-turbo

    references to specific people and roles in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imester
    -0.88
    emia
    -0.83
    osphere
    -0.81
     Jav
    -0.80
    iframe
    -0.77
    igor
    -0.74
     Alz
    -0.71
    eus
    -0.71
     Gutenberg
    -0.70
    hel
    -0.69
    POSITIVE LOGITS
    eely
    1.17
    sis
    0.82
     Irvine
    0.74
     peas
    0.70
    shire
    0.68
     competitor
    0.67
     calculating
    0.66
     Stephens
    0.64
     grinding
    0.63
    alties
    0.63
    Activations Density 0.024%

    No Known Activations