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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. 16606
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    Explanations

    words related to specific geographical locations or organizations such as "Taj," "Tata," and "Tate."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or terms related to "Taj" and "Tate."

    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
    ULAR
    -0.71
     Angels
    -0.65
     Anarchy
    -0.65
     Purg
    -0.64
     clipboard
    -0.64
     newsletters
    -0.63
     magnification
    -0.62
     raft
    -0.60
     Competitive
    -0.59
     Ballistic
    -0.59
    POSITIVE LOGITS
     Taj
    1.11
    aji
    0.98
    imura
    0.94
    imaru
    0.93
    merga
    0.90
    agara
    0.87
    ami
    0.86
    acan
    0.86
    oya
    0.86
    istani
    0.85
    Activations Density 0.005%

    No Known Activations