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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. 10-RES-JB
    11. 6083
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    Explanations

    phrases related to business and economic activities

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to business and economic factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ATT
    -0.67
    iterator
    -0.59
     Baal
    -0.58
    zin
    -0.58
     ARC
    -0.58
     Labyrinth
    -0.55
     Imam
    -0.55
     Luther
    -0.54
     Bernstein
    -0.53
     Elm
    -0.53
    POSITIVE LOGITS
     ensures
    1.37
     prevents
    1.36
     enables
    1.33
     resulted
    1.31
     allows
    1.30
     helps
    1.30
     creates
    1.29
     makes
    1.29
     lends
    1.27
     means
    1.26
    Activations Density 1.020%

    No Known Activations