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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. 11-RES-JB
    6. 16635
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -0.99
     metic
    -0.84
     HA
    -0.75
     exting
    -0.73
    oreAnd
    -0.70
     BRA
    -0.69
     pione
    -0.68
     earthqu
    -0.68
     BT
    -0.68
     Gree
    -0.67
    POSITIVE LOGITS
    l
    1.37
    b
    1.28
    c
    1.26
    v
    1.25
    n
    1.25
    m
    1.25
    f
    1.24
    d
    1.22
    g
    1.21
    k
    1.20
    Activations Density 0.164%

    No Known Activations