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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. 7-RES-JB
    11. 13672
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    Explanations

    terms related to superlatives or things that are considered the most something in a specific context

    oai_token-act-pair · gpt-3.5-turbo

    nouns indicating notable people, places, or things

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    verages
    -0.70
     photon
    -0.64
     dummy
    -0.64
     Mayo
    -0.64
    vich
    -0.62
    yg
    -0.62
    politics
    -0.61
     Bund
    -0.60
     Lov
    -0.60
     john
    -0.59
    POSITIVE LOGITS
    mith
    1.27
    hips
    1.14
    hooting
    1.09
    hops
    1.00
    peak
    0.98
    heet
    0.94
    uggest
    0.93
    chool
    0.89
    pring
    0.89
    creen
    0.87
    Activations Density 0.161%

    No Known Activations