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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. 9-RES-JB
    11. 11225
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    Explanations

    predictions or expectations of future events

    oai_token-act-pair · gpt-3.5-turbo

    the conditional or future tense usage of the word "would"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.65
     Sets
    -0.63
    pires
    -0.61
     Kag
    -0.60
    RD
    -0.58
    Building
    -0.56
     Kis
    -0.55
    building
    -0.55
    /.
    -0.55
     Reporting
    -0.54
    POSITIVE LOGITS
     be
    1.17
    soon
    1.11
     eventually
    0.98
     prevail
    0.94
    meet
    0.93
     someday
    0.90
     sooner
    0.90
     gladly
    0.90
     inevitably
    0.89
    ĸļ
    0.88
    Activations Density 0.148%

    No Known Activations