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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. 14833
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    Explanations

    words related to different approaches or methods

    oai_token-act-pair · gpt-3.5-turbo

    references to methods or strategies used in various contexts

    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
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    Negative Logits
    ãĥ©ãĥ³
    -0.72
    gin
    -0.68
    grave
    -0.66
     nurs
    -0.64
     notor
    -0.63
    cakes
    -0.62
    cake
    -0.60
     havoc
    -0.60
    rd
    -0.59
     Bunker
    -0.58
    POSITIVE LOGITS
    ologies
    0.92
     toward
    0.91
     towards
    0.84
     approach
    0.83
     Approach
    0.83
    olitan
    0.82
     thereto
    0.82
     pioneered
    0.77
    ivist
    0.75
    able
    0.75
    Activations Density 0.029%

    No Known Activations