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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. 2-RES-JB
    11. 13633
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    Explanations

    phrases related to recognition and identification

    oai_token-act-pair · gpt-3.5-turbo

    words related to recognition or acknowledgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mileage
    -0.78
    scenes
    -0.72
    hours
    -0.72
    Far
    -0.68
     loose
    -0.64
     Beir
    -0.63
    RAW
    -0.62
    bury
    -0.59
    CHAT
    -0.58
    Various
    -0.57
    POSITIVE LOGITS
    ocent
    1.23
    ogn
    1.18
    ito
    1.06
    ition
    1.05
    omore
    1.03
    ificent
    1.01
    icious
    1.00
    ormal
    0.98
    isance
    0.97
    itives
    0.96
    Activations Density 0.006%

    No Known Activations