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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. 4-RES-JB
    11. 8575
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    Explanations

    phrases related to time duration and sequence

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods, specifically phrases that indicate temporal context

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

    No Comments

    Negative Logits
    apego
    -0.77
    ocide
    -0.67
    oppable
    -0.67
    ographers
    -0.66
    orsi
    -0.63
    ifles
    -0.63
    ourge
    -0.63
    paio
    -0.63
    irlf
    -0.61
    arcity
    -0.61
    POSITIVE LOGITS
     vicinity
    1.06
     context
    0.92
     manner
    0.89
     nutshell
    0.87
     vein
    0.87
     guise
    0.81
     hurry
    0.81
     timeframe
    0.80
     courtyard
    0.79
     midst
    0.76
    Activations Density 0.211%

    No Known Activations