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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. 3-RES-JB
    11. 12441
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    INDEX
    Explanations

    phrases related to specific types or classifications of objects

    oai_token-act-pair · gpt-3.5-turbo

    references to classification categories or designations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPLE
    -0.81
     stump
    -0.70
     wit
    -0.66
     Grimes
    -0.65
     hypot
    -0.62
     ende
    -0.62
    pty
    -0.62
     Bakr
    -0.62
    foreseen
    -0.58
    orthy
    -0.58
    POSITIVE LOGITS
    ifications
    1.26
    ifiers
    1.16
    ifier
    1.08
    ifying
    1.02
    ifies
    1.00
    mates
    1.00
    ification
    0.98
    mate
    0.98
    ified
    0.94
    class
    0.93
    Activations Density 0.022%

    No Known Activations