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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. 3-RES-JB
    11. 18424
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    Explanations

    proper names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    names of people, particularly those associated with the context provided

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ached
    -0.86
    inately
    -0.82
    hovah
    -0.82
    heimer
    -0.79
    inence
    -0.79
    pelled
    -0.77
    sense
    -0.77
    inqu
    -0.75
    rera
    -0.75
    angler
    -0.74
    POSITIVE LOGITS
     Katherine
    0.86
     Rowling
    0.83
    lihood
    0.83
     Eleanor
    0.77
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.76
     Sylvia
    0.75
     Lans
    0.75
     Sturgeon
    0.74
     Sullivan
    0.74
     Ocean
    0.74
    Activations Density 0.014%

    No Known Activations