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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. 8-RES-JB
    11. 12325
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    Explanations

    words related to specific objects or concepts, such as 'barrels', 'filters', 'antibodies', 'planes', 'missiles', 'charts', 'taxes', 'wires', 'batteries', 'casts', 'routes', 'computers', 'pools', '

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns related to various activities or objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilogy
    -0.56
     Nightmares
    -0.54
     VID
    -0.54
     charism
    -0.53
    rique
    -0.52
     Bulldogs
    -0.52
    atever
    -0.51
    nce
    -0.51
     Partnership
    -0.51
     Expedition
    -0.50
    POSITIVE LOGITS
    mith
    1.12
    peed
    1.04
    ynthesis
    1.04
    paces
    1.03
    chool
    1.00
    pread
    1.00
    pace
    1.00
    pring
    0.99
    hift
    0.95
    creen
    0.95
    Activations Density 0.820%

    No Known Activations