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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. 14470
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    Explanations

    time-related expressions, specifically specifying a time period such as 'months after' or 'days before'

    oai_token-act-pair · gpt-3.5-turbo

    temporal indicators related to events

    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
    vari
    -0.82
    alam
    -0.81
    meet
    -0.80
    multi
    -0.75
    pattern
    -0.75
    REDACTED
    -0.75
    itus
    -0.74
    oly
    -0.73
    future
    -0.72
    rices
    -0.71
    POSITIVE LOGITS
     kindergarten
    0.68
     shy
    0.66
     luck
    0.65
     clipping
    0.64
     Mellon
    0.64
     graduation
    0.63
     warmed
    0.62
     clicks
    0.62
     Gonz
    0.58
     Paw
    0.58
    Activations Density 0.117%

    No Known Activations