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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. 4294
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    Explanations

    times of day in text

    oai_token-act-pair · gpt-3.5-turbo

    instances of time and date formats in the text

    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
     lax
    -0.64
     straw
    -0.63
    irie
    -0.63
     AGA
    -0.62
     neglected
    -0.60
     resemb
    -0.60
     wholes
    -0.59
     wrinkles
    -0.59
     faithfully
    -0.59
    entimes
    -0.58
    POSITIVE LOGITS
     PST
    0.78
     EDT
    0.76
     PDT
    0.76
     CST
    0.75
     ET
    0.73
    NetMessage
    0.73
    meier
    0.72
    Sept
    0.72
     EST
    0.71
    asse
    0.70
    Activations Density 0.074%

    No Known Activations