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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. 2-RES-JB
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    Explanations

    references to being captive or held against one's will

    oai_token-act-pair · gpt-3.5-turbo

    references to captivity and captive animals or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ucc
    -0.79
    ergy
    -0.77
    info
    -0.73
    ophical
    -0.72
    essler
    -0.69
    resso
    -0.68
    ension
    -0.67
    uyomi
    -0.67
    hemy
    -0.67
    utenberg
    -0.66
    POSITIVE LOGITS
     captive
    1.39
     captives
    1.00
     captivity
    0.87
    Capt
    0.84
     bred
    0.80
     Capt
    0.77
    eers
    0.72
     Jaw
    0.71
    ele
    0.71
     pigeon
    0.70
    Activations Density 0.009%

    No Known Activations