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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. 9-RES-JB
    11. 16675
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    Explanations

    questions starting with the word "What"

    oai_token-act-pair · gpt-3.5-turbo

    the word "what" and its variations used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    trop
    -0.64
    ulic
    -0.61
    iscover
    -0.60
    uated
    -0.59
    rolet
    -0.56
    iv
    -0.56
    interstitial
    -0.55
    owned
    -0.54
    unks
    -0.53
    FN
    -0.53
    POSITIVE LOGITS
    soever
    1.47
     happened
    1.05
     happens
    1.02
     happ
    1.01
    ?!
    1.00
     else
    0.97
    ?!"
    0.92
    !?
    0.87
    !?"
    0.83
     bothers
    0.76
    Activations Density 0.083%

    No Known Activations