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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. 701
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    Explanations

    phrases related to achieving popularity and recognition

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of fame

    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
     halves
    -0.67
    cise
    -0.64
     Barg
    -0.62
     Grow
    -0.62
    atives
    -0.62
     Fir
    -0.61
    tein
    -0.60
    hematic
    -0.59
     tense
    -0.58
     Stab
    -0.58
    POSITIVE LOGITS
     fame
    0.97
    rities
    0.90
    frey
    0.88
    ously
    0.85
    æ©
    0.84
     tremend
    0.81
     Fame
    0.78
    uously
    0.76
    ilial
    0.76
    iqueness
    0.76
    Activations Density 0.010%

    No Known Activations