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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. 12-RES-JB
    11. 3257
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    Explanations

    mentions of the concept of time, specifically emphasizing the passing of time or time-related factors

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to time and temporal concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    enburg
    -0.73
    alis
    -0.72
    orld
    -0.69
     Dancing
    -0.69
     Eyes
    -0.63
    igl
    -0.61
    self
    -0.60
    emale
    -0.60
     Reloaded
    -0.59
     Musical
    -0.58
    POSITIVE LOGITS
    frames
    1.23
     frame
    1.09
    frame
    1.06
     horizon
    1.05
     constraint
    1.01
    zone
    1.01
     limit
    0.97
     constraints
    0.97
     interval
    0.95
     commitment
    0.95
    Activations Density 0.071%

    No Known Activations