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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. 5533
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    Explanations

    references to academic and professional fellowships and specific individuals associated with them

    oai_token-act-pair · gpt-3.5-turbo

    references to filmmakers named Fellini and terms related to fellowship

    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
    perature
    -0.75
     Reaction
    -0.70
    store
    -0.66
     rall
    -0.66
    Rap
    -0.65
    ULT
    -0.63
     reaction
    -0.63
    ãĤ¢ãĥ«
    -0.63
    ãĥĺ
    -0.62
    ãĥ
    -0.62
    POSITIVE LOGITS
     fellowship
    0.92
    owship
    0.92
     Fell
    0.92
     Fellowship
    0.84
     fellows
    0.82
    furt
    0.79
    hips
    0.77
     laure
    0.74
    heit
    0.73
     laureate
    0.72
    Activations Density 0.008%

    No Known Activations