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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. 6-RES-JB
    11. 12776
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    proper nouns and names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ways
    -0.62
    ridor
    -0.60
     dots
    -0.59
    xual
    -0.58
     forth
    -0.58
     vantage
    -0.57
     parcels
    -0.57
     grievances
    -0.56
    shire
    -0.55
     greet
    -0.55
    POSITIVE LOGITS
    Cola
    0.82
    Parts
    0.67
    League
    0.66
    »Ĵ
    0.66
    TAG
    0.64
    Applic
    0.62
    à¼
    0.62
    allery
    0.61
    wagen
    0.61
    Reference
    0.61
    Activations Density 0.720%

    No Known Activations