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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. 4-RES-JB
    11. 24093
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    Explanations

    adverbs or adjectives often used to modify or emphasize actions

    oai_token-act-pair · gpt-3.5-turbo

    attributes of ownership and completeness

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

    No Comments

    Negative Logits
    anwhile
    -0.75
    ulators
    -0.69
    CDC
    -0.68
     Frie
    -0.67
    inflamm
    -0.67
     pods
    -0.66
     Scores
    -0.66
    */(
    -0.65
     Cards
    -0.62
    Doctors
    -0.62
    POSITIVE LOGITS
     reliant
    0.83
    BuyableInstoreAndOnline
    0.82
     owned
    0.78
    ancing
    0.76
    alysed
    0.71
     unt
    0.70
     uncon
    0.70
     behold
    0.68
     qualified
    0.68
    Buyable
    0.68
    Activations Density 0.011%

    No Known Activations