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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. 3-RES-JB
    11. 5472
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    Explanations

    proper names related to photography or distillery

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    dinand
    -0.74
    PDATE
    -0.73
    ported
    -0.72
    rity
    -0.70
    Lv
    -0.67
    inventoryQuantity
    -0.66
    fore
    -0.66
    ozo
    -0.66
    itone
    -0.65
    fect
    -0.64
    POSITIVE LOGITS
     Tanner
    0.89
     Lawson
    0.87
     Goods
    0.84
    arios
    0.83
    yson
    0.82
     Jarvis
    0.81
    enzie
    0.71
     Mills
    0.70
     Chandler
    0.69
     Hayden
    0.69
    Activations Density 0.019%

    No Known Activations