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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. 1674
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    Explanations

    dates specified in the format 'mid-[month]' with varying degrees of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to time periods, specifically referencing "mid" followed by various time markers

    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
     AVG
    -0.78
     DRAG
    -0.73
    éĹĺ
    -0.69
     badges
    -0.68
     Cosponsors
    -0.68
     Starr
    -0.68
     Canaver
    -0.65
     Neville
    -0.65
     Painter
    -0.64
     SOS
    -0.64
    POSITIVE LOGITS
    range
    1.14
    century
    1.11
    term
    1.11
    season
    1.11
    sent
    1.11
    sized
    1.07
    level
    1.07
    distance
    1.06
    grade
    1.04
    trial
    1.00
    Activations Density 0.029%

    No Known Activations