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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. 7-RES-JB
    11. 7815
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    Explanations

    locations or institutions with a specific emphasis on Texas and Mexico

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly related to universities and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.73
     actionGroup
    -0.68
    Äĩ
    -0.67
     ACTIONS
    -0.64
    ãĥ£
    -0.64
     Tradable
    -0.62
    actionDate
    -0.61
    ãĥ¼ãĥĨ
    -0.61
    imaru
    -0.61
    imity
    -0.61
    POSITIVE LOGITS
    auga
    1.03
    ruck
    0.69
    innon
    0.67
    alos
    0.66
    utsche
    0.64
     Sack
    0.64
    ritical
    0.63
    alla
    0.63
    Rand
    0.61
    fee
    0.60
    Activations Density 0.428%

    No Known Activations