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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. 8-RES-JB
    11. 23870
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    Explanations

    specific years or time periods

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     snipp
    -0.76
     pse
    -0.60
     Pru
    -0.58
     Hunts
    -0.58
    Jackson
    -0.57
    imore
    -0.56
     Jugg
    -0.56
    Dialogue
    -0.56
     Sym
    -0.55
    IPP
    -0.55
    POSITIVE LOGITS
     onwards
    0.86
    âĢ²
    0.76
     onward
    0.74
    cards
    0.67
    uously
    0.67
    quist
    0.66
    ties
    0.66
    staking
    0.65
    lov
    0.64
     editions
    0.62
    Activations Density 0.101%

    No Known Activations