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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. 4-RES-JB
    11. 4691
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    Explanations

    phrases related to seeking a return to a previous state or activity

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing the concept of returning or recovery

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

    No Comments

    Negative Logits
    ashi
    -0.74
    uously
    -0.73
     understatement
    -0.68
    ities
    -0.67
     Defendants
    -0.66
     Sullivan
    -0.62
     Hots
    -0.60
    idis
    -0.59
     Shiv
    -0.58
    ogi
    -0.58
    POSITIVE LOGITS
    tracking
    0.91
    dated
    0.88
    door
    0.83
    seat
    0.81
    packs
    0.80
    doors
    0.80
    GROUND
    0.79
    trace
    0.77
    stories
    0.75
    haul
    0.74
    Activations Density 0.023%

    No Known Activations