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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. 4-RES-JB
    11. 15456
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    Explanations

    phrases related to construction or implementation

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the concept of integration or incorporation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    zai
    -0.67
     RTX
    -0.62
    orno
    -0.61
    erva
    -0.60
     paced
    -0.59
    rogens
    -0.59
    trak
    -0.57
    cies
    -0.57
     spices
    -0.55
    ester
    -0.55
    POSITIVE LOGITS
     adulthood
    0.87
     infinity
    0.83
    ournal
    0.73
    ãĤ§
    0.65
     ob
    0.65
    obin
    0.64
     existence
    0.62
    Role
    0.61
    Aust
    0.59
    Ott
    0.58
    Activations Density 0.054%

    No Known Activations