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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. 0-RES-JB
    6. 8972
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    INDEX
    Explanations

    words related to actions or conditions involving leaving or separating from a group

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and participles related to actions and behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ashe
    -0.68
     poly
    -0.64
     Jes
    -0.62
     reproduction
    -0.60
     Bert
    -0.60
     unfocusedRange
    -0.59
     soc
    -0.59
     Jenn
    -0.57
     Jos
    -0.57
     DT
    -0.57
    POSITIVE LOGITS
    aving
    4.34
    aved
    2.85
    aves
    2.45
    ave
    2.14
    avers
    1.95
    avement
    1.72
    aver
    1.58
    avery
    1.42
    aping
    1.28
    avin
    1.28
    Activations Density 0.016%

    No Known Activations