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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. 11-RES-JB
    11. 13281
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    Explanations

    phrases related to creation or invention

    oai_token-act-pair · gpt-3.5-turbo

    actions related to creation or formation processes

    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
    ĪĴ
    -0.67
     NCT
    -0.65
    MORE
    -0.64
    resa
    -0.64
    allery
    -0.62
    GREEN
    -0.60
     Wid
    -0.56
    interstitial
    -0.55
    pictured
    -0.55
     Supporters
    -0.54
    POSITIVE LOGITS
     spontaneously
    1.16
     by
    1.15
     unconsciously
    1.11
     beforehand
    1.11
     consciously
    1.03
     expressly
    1.02
     artificially
    1.00
     arbitrarily
    0.99
     cheaply
    0.99
     collabor
    0.96
    Activations Density 0.250%

    No Known Activations