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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. 0-RES-JB
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    Explanations

    mentions of specific departments

    oai_token-act-pair · gpt-3.5-turbo

    words associated with different types of "departments" and "compartments."

    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
     ausp
    -0.72
     goodwill
    -0.66
     royalty
    -0.65
    Sun
    -0.64
     curses
    -0.64
     upl
    -0.64
     festivals
    -0.63
     eclipse
    -0.63
     tainted
    -0.63
     rebels
    -0.63
    POSITIVE LOGITS
    artments
    4.30
    artment
    3.69
     compartment
    2.00
    rehens
    1.29
    ortment
    1.19
    anse
    1.06
    folio
    1.05
    rehend
    1.05
    adelphia
    1.04
    ocamp
    1.03
    Activations Density 0.035%

    No Known Activations