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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 1063
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    Explanations

    names of film directors

    oai_token-act-pair · gpt-3.5-turbo

    directors' names associated with films

    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
    tics
    -0.75
     Peb
    -0.71
     Ukrainians
    -0.66
     Canadians
    -0.66
     Mellon
    -0.65
     Jericho
    -0.64
     Samoa
    -0.64
     Kimmel
    -0.63
     Cassidy
    -0.62
    Ukraine
    -0.61
    POSITIVE LOGITS
    igible
    1.14
     Dir
    0.89
     dir
    0.85
    der
    0.84
    iger
    0.79
    nit
    0.79
    idon
    0.78
    icular
    0.78
    Dir
    0.76
    irez
    0.73
    Activations Density 0.009%

    No Known Activations