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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. 7-RES-JB
    11. 3018
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    INDEX
    Explanations

    dates or time periods

    oai_token-act-pair · gpt-3.5-turbo

    date ranges or specific years related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    malink
    -0.74
    ãĥĪ
    -0.69
    Node
    -0.68
     gib
    -0.64
    eries
    -0.63
    Edge
    -0.63
     Morty
    -0.62
    NES
    -0.62
    gravity
    -0.62
    Scale
    -0.60
    POSITIVE LOGITS
    staking
    0.82
     alleging
    0.81
     onwards
    0.81
    -'
    0.80
     unsuccessfully
    0.76
     prosecutors
    0.75
     alerted
    0.72
     allege
    0.71
    furt
    0.70
     approving
    0.70
    Activations Density 0.268%

    No Known Activations