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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. 6-RES-JB
    11. 20643
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    Explanations

    personal actions and experiences related to time and dedication

    oai_token-act-pair · gpt-3.5-turbo

    references to durations or spans of time spent on various activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     slate
    -0.65
    ells
    -0.64
    opl
    -0.63
    ovi
    -0.62
     axis
    -0.62
     departures
    -0.62
     carriers
    -0.58
    Compat
    -0.57
     inacc
    -0.57
     Boolean
    -0.56
    POSITIVE LOGITS
     frivol
    0.77
     summers
    0.75
     semester
    0.74
     vacations
    0.72
     leisure
    0.72
     slee
    0.70
     dues
    0.70
    anmar
    0.70
    oling
    0.70
    ornia
    0.70
    Activations Density 0.142%

    No Known Activations