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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
    11. 7447
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    INDEX
    Explanations

    director names

    oai_token-act-pair · gpt-3.5-turbo

    film direction credits in movie titles

    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
    tics
    -0.81
    aque
    -0.71
     Canadians
    -0.66
    urrency
    -0.63
    allows
    -0.63
     Peb
    -0.62
    amide
    -0.62
     Ukrainians
    -0.61
     Kenny
    -0.60
     Autism
    -0.58
    POSITIVE LOGITS
     Dir
    0.99
    igible
    0.94
     dir
    0.87
    Dir
    0.81
    idon
    0.80
    irez
    0.80
    ksh
    0.78
    vana
    0.73
    ham
    0.73
    dir
    0.72
    Activations Density 0.012%

    No Known Activations