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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. 1-RES-JB
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    Explanations

    verbs relating to the consumption of various substances or items

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "consume" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Singer
    -0.70
     exoner
    -0.63
    organ
    -0.63
     Supervisor
    -0.63
    sie
    -0.62
     Morgan
    -0.61
    ARP
    -0.61
     Schneider
    -0.60
     Rhodes
    -0.58
    asio
    -0.58
    POSITIVE LOGITS
     consumed
    1.06
    itures
    1.05
    iture
    0.95
     consumes
    0.89
     consume
    0.87
    edIn
    0.86
     eaten
    0.84
    ivities
    0.82
    ibles
    0.81
     consumption
    0.79
    Activations Density 0.010%

    No Known Activations