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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. 3-RES-JB
    11. 20014
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    Explanations

    phrases related to specific details in various contexts, such as product information, political matters, and donations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to socioeconomic and political issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Vert
    -0.57
    SAM
    -0.52
     Elys
    -0.51
    insula
    -0.50
     Seas
    -0.50
     behalf
    -0.50
     Insect
    -0.50
    href
    -0.48
    itsch
    -0.47
    taboola
    -0.47
    POSITIVE LOGITS
     awa
    0.70
    emort
    0.65
     anymore
    0.62
    antically
    0.60
    matically
    0.59
     anew
    0.58
     toget
    0.57
     advis
    0.56
    inarily
    0.54
     orphans
    0.54
    Activations Density 2.736%

    No Known Activations