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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

    references to "prey."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words relating to predatory behavior

    oai_token-act-pair · gpt-3.5-turbo
    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
    andro
    -0.73
    aan
    -0.72
    inness
    -0.69
    essa
    -0.67
    adder
    -0.64
    ARY
    -0.63
    leans
    -0.63
    ANA
    -0.62
    helle
    -0.62
    mut
    -0.61
    POSITIVE LOGITS
     prey
    1.31
    odon
    0.85
     vanquished
    0.84
     predators
    0.83
    brates
    0.79
     predator
    0.76
     Horses
    0.76
    ãĤ¼ãĤ¦ãĤ¹
    0.76
    emouth
    0.75
     Whale
    0.73
    Activations Density 0.005%

    No Known Activations