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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15821
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    Explanations

    adjectives that may be related to evaluation or classification

    oai_token-act-pair · gpt-3.5-turbo

    words related to academic achievement and success

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Lines
    -0.62
     Accountability
    -0.60
     Balanced
    -0.59
     Izan
    -0.57
     Commons
    -0.57
     Pyramid
    -0.55
     Empires
    -0.54
     Shuttle
    -0.53
     Own
    -0.53
     Borders
    -0.53
    POSITIVE LOGITS
    ole
    0.64
    aging
    0.60
    ect
    0.60
    ote
    0.59
    atur
    0.59
    Äĵ
    0.58
    ouse
    0.58
    asing
    0.58
    aded
    0.58
    ÂŃ
    0.58
    Activations Density 0.372%

    No Known Activations