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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 7002
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    Explanations

    events or situations occurring in the past

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating time, specifically those referring to duration or past events

    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
    pert
    -0.79
    ithing
    -0.70
    rongh
    -0.69
    ulkan
    -0.67
    acus
    -0.65
    ortment
    -0.65
    cellence
    -0.63
     nont
    -0.63
    minecraft
    -0.62
    nostic
    -0.62
    POSITIVE LOGITS
     enough
    0.99
    aneously
    0.92
     Enough
    0.82
    enough
    0.78
    Enough
    0.74
     Pradesh
    0.72
     anymore
    0.68
     ago
    0.67
    shots
    0.65
     leftists
    0.64
    Activations Density 0.040%

    No Known Activations