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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. 4-RES-JB
    11. 10730
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    Explanations

    phrases containing the word "can"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "can" indicating capability or possibility

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

    No Comments

    Negative Logits
     Fighter
    -0.69
     guarding
    -0.63
    edient
    -0.62
     rehearsal
    -0.60
     BAL
    -0.59
     revision
    -0.59
     Moz
    -0.59
     Mant
    -0.59
     honoring
    -0.59
    hran
    -0.59
    POSITIVE LOGITS
    't
    1.55
    adian
    1.28
    berra
    1.19
    isters
    1.05
    NOT
    1.04
     attest
    0.99
    vas
    0.99
    ister
    0.93
     afford
    0.91
     easily
    0.88
    Activations Density 0.178%

    No Known Activations