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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. 6-RES-JB
    11. 10677
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    Explanations

    words related to predatory behavior and actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to predators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    monds
    -0.80
    bel
    -0.74
    ahon
    -0.71
    bles
    -0.70
     provisional
    -0.70
    rique
    -0.69
    urn
    -0.69
    oard
    -0.69
    stones
    -0.68
     Luck
    -0.66
    POSITIVE LOGITS
     predators
    1.10
     prey
    1.02
     predator
    0.92
     instinct
    0.89
     instincts
    0.88
     stalking
    0.84
     predatory
    0.84
     lurking
    0.81
     Predators
    0.80
     prow
    0.79
    Activations Density 0.021%

    No Known Activations