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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. 5008
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    Explanations

    phrases related to operating under certain conditions or directions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to operating conditions and practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.90
     Parenthood
    -0.75
    gem
    -0.71
    si
    -0.69
    Ĥª
    -0.69
    ggle
    -0.67
    hesda
    -0.67
    iology
    -0.65
    iry
    -0.64
     Osw
    -0.63
    POSITIVE LOGITS
     fumes
    0.93
     supervised
    0.89
     strict
    0.84
     borrowed
    0.81
     schedule
    0.77
     supervision
    0.76
     rented
    0.75
     secrecy
    0.74
     unconventional
    0.73
     delegated
    0.70
    Activations Density 0.392%

    No Known Activations