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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. 9-RES-JB
    11. 14040
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    Explanations

    words related to the act of capturing or representation

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

    verbs related to capturing or capturing itself

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    jab
    -0.74
    appa
    -0.64
     afraid
    -0.63
    wait
    -0.62
    iquette
    -0.62
    bye
    -0.62
    amily
    -0.61
    endix
    -0.61
    iop
    -0.60
     [/
    -0.59
    POSITIVE LOGITS
    htaking
    0.87
     imag
    0.77
    ravings
    0.75
    oufl
    0.75
     images
    0.72
     glimps
    0.71
    eer
    0.70
     fleeting
    0.70
     prey
    0.69
     Thumbnails
    0.69
    Activations Density 0.041%

    No Known Activations