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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. 7-RES-JB
    11. 10005
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    Explanations

    references to a specific university with the word "Tech" in it

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Tech" and technology-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dylib
    -0.70
     domestically
    -0.68
     pardon
    -0.66
     arous
    -0.64
     oblig
    -0.64
    theless
    -0.63
     unres
    -0.61
     compuls
    -0.60
     patronage
    -0.60
     Twain
    -0.60
    POSITIVE LOGITS
    icum
    1.14
    Crunch
    1.12
    ambers
    1.04
    amber
    0.97
    inen
    0.87
    nan
    0.87
    anical
    0.86
    irtual
    0.86
    culus
    0.84
    ilde
    0.84
    Activations Density 0.024%

    No Known Activations