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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. 339
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    INDEX
    Explanations

    instances of words related to time management, schedules, and specific timings

    oai_token-act-pair · gpt-3.5-turbo

    references to timing and timers in various contexts

    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
    LCS
    -0.76
    undy
    -0.74
    irie
    -0.70
    obbies
    -0.68
    doms
    -0.67
    iasis
    -0.67
    ousy
    -0.66
    esan
    -0.66
    ortment
    -0.66
    Magikarp
    -0.65
    POSITIVE LOGITS
     timed
    0.96
    entary
    0.82
    nesday
    0.75
    stice
    0.75
    oleon
    0.74
    elta
    0.74
     intervals
    0.73
     elapsed
    0.71
    blocks
    0.70
    othy
    0.70
    Activations Density 0.006%

    No Known Activations