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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. 6116
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    Explanations

    images or mentions of people holding objects

    oai_token-act-pair · gpt-3.5-turbo

    instances of holding or carrying something

    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
    lees
    -0.66
    intensity
    -0.63
     consequ
    -0.63
     departures
    -0.62
    MQ
    -0.61
     answ
    -0.61
    Events
    -0.61
    politics
    -0.60
     deaths
    -0.60
    asions
    -0.60
    POSITIVE LOGITS
     scissors
    1.00
     a
    0.95
     his
    0.88
     sunglasses
    0.87
     an
    0.86
     parchment
    0.84
     glasses
    0.83
     handcuffs
    0.82
     goggles
    0.81
     balloons
    0.80
    Activations Density 0.437%

    No Known Activations