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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 11828
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    INDEX
    Explanations

    words related to interviews or statements made by individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and possibly organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    geries
    -0.81
    soDeliveryDate
    -0.77
     Newsletter
    -0.63
    $$$$
    -0.62
     Frie
    -0.62
    photo
    -0.62
     Membership
    -0.61
    orship
    -0.60
     Pigs
    -0.60
     Wedding
    -0.60
    POSITIVE LOGITS
     explained
    1.16
     reiterated
    1.12
     stated
    1.10
     elaborated
    1.07
     asserted
    1.07
     emphasized
    1.06
     discusses
    1.06
     discussed
    1.04
     revealed
    1.04
     outlined
    1.03
    Activations Density 0.287%

    No Known Activations