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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. 0-RES-JB
    11. 1895
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    INDEX
    Explanations

    phrases related to minimized or reduced impact or risk

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to minimalism and simplicity

    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
    sters
    -0.71
    mouth
    -0.69
    born
    -0.68
     Ago
    -0.64
    agues
    -0.64
    Bet
    -0.63
    ung
    -0.60
    ibo
    -0.59
     Together
    -0.59
    ster
    -0.59
    POSITIVE LOGITS
     minimal
    3.41
     minimalist
    1.85
     negligible
    1.73
     maximal
    1.67
     minimized
    1.67
     minim
    1.53
     minimum
    1.52
     rudimentary
    1.27
     meager
    1.25
     modest
    1.24
    Activations Density 0.014%

    No Known Activations