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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. 0-RES-JB
    6. 3862
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    INDEX
    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and instances of derogatory or disparaging language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tok
    -0.82
    aido
    -0.72
    bos
    -0.71
     replication
    -0.70
     Tok
    -0.70
    rawdownloadcloneembedreportprint
    -0.68
    slave
    -0.68
    Phase
    -0.68
    BF
    -0.68
     injection
    -0.68
    POSITIVE LOGITS
     Moreno
    2.13
     Hayden
    2.04
     derogatory
    1.58
     dispar
    1.32
     depl
    1.26
     Flat
    1.24
     Chin
    1.04
     Jerome
    0.97
     Fern
    0.94
     Chester
    0.94
    Activations Density 0.042%

    No Known Activations