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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. 12-RES-JB
    11. 3650
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    Explanations

    blocks of text relating to technology, software updates, and product features

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    numerical values and percentages related to financial aspects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     severed
    -0.59
     Thy
    -0.55
    ability
    -0.53
     bang
    -0.52
    tsky
    -0.51
    jet
    -0.50
    naire
    -0.50
    creen
    -0.50
     rails
    -0.49
     sorely
    -0.49
    POSITIVE LOGITS
    xff
    1.20
    xd
    1.03
    xc
    1.02
    xa
    0.98
    xb
    0.95
    603
    0.93
    xf
    0.90
    805
    0.89
    755
    0.87
    ubuntu
    0.85
    Activations Density 0.047%

    No Known Activations