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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. 11-RES-JB
    11. 3624
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    Explanations

    text related to division or categorization

    oai_token-act-pair · gpt-3.5-turbo

    instances of categorization and division of information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    nor
    -0.70
    tons
    -0.63
    lihood
    -0.62
    dding
    -0.60
     wonders
    -0.59
     Patron
    -0.59
    guard
    -0.58
    burning
    -0.54
    CLASSIFIED
    -0.54
     Gamble
    -0.54
    POSITIVE LOGITS
     into
    1.34
     geographically
    1.24
     evenly
    1.17
     INTO
    1.05
     neatly
    1.03
     Into
    1.02
    into
    0.96
     hierarch
    0.94
     according
    0.93
     accordingly
    0.93
    Activations Density 0.303%

    No Known Activations