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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. 8-RES-JB
    11. 1747
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    Explanations

    proper nouns related to people or places

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement and evaluation in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kaw
    -0.77
    Magn
    -0.73
    490
    -0.72
    uy
    -0.71
    oms
    -0.71
     Cary
    -0.71
    ãĢĮ
    -0.70
     TY
    -0.70
     ãĢĮ
    -0.70
    492
    -0.69
    POSITIVE LOGITS
    erity
    0.70
    eno
    0.69
    pton
    0.69
    esh
    0.69
    cox
    0.67
    van
    0.67
    ãĥ¤
    0.66
    elf
    0.66
    eston
    0.65
     Devil
    0.65
    Activations Density 0.529%

    No Known Activations