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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. 11853
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    INDEX
    Explanations

    words related to time frames, particularly terms indicating long durations

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "long-term" in various contexts

    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
    ashtra
    -0.69
    Cu
    -0.67
     guiActive
    -0.66
    IRO
    -0.66
     Ashe
    -0.65
     Compass
    -0.63
     Alexandra
    -0.62
     Canaver
    -0.62
     NTS
    -0.62
     Braz
    -0.62
    POSITIVE LOGITS
    term
    1.61
     term
    1.58
    Term
    1.35
     Term
    1.25
    lasting
    1.23
    terms
    1.16
    itudinal
    1.13
     lasting
    1.02
     duration
    0.99
     periods
    0.97
    Activations Density 0.066%

    No Known Activations