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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. 21787
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    Explanations

    proper nouns related to the Memphis Grizzlies basketball team

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Memphis and the Memphis Grizzlies basketball team

    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
    lying
    -0.90
    boarding
    -0.89
    lein
    -0.85
    astics
    -0.82
    ingen
    -0.80
    wal
    -0.79
    arat
    -0.77
    acht
    -0.77
    lander
    -0.76
    lete
    -0.74
    POSITIVE LOGITS
     Grizzlies
    1.11
    phis
    0.85
     Predators
    0.73
     Goat
    0.71
     eleph
    0.66
    å°Ĩ
    0.66
     partName
    0.62
     chords
    0.60
     Cooking
    0.60
     Cathedral
    0.60
    Activations Density 0.048%

    No Known Activations