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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. 9-RES-JB
    11. 23760
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    Explanations

    dates or times related to the beginning of events or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the initiation or scheduling of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uably
    -0.76
    warts
    -0.72
    ingly
    -0.70
    icons
    -0.70
    obi
    -0.69
    idated
    -0.69
    icator
    -0.68
    recated
    -0.66
    lat
    -0.66
    friends
    -0.65
    POSITIVE LOGITS
     anew
    1.00
     preparations
    0.91
     airing
    0.91
     accepting
    0.88
     Phase
    0.83
     delivering
    0.82
     operations
    0.81
     countdown
    0.80
     occupancy
    0.80
     operation
    0.80
    Activations Density 0.155%

    No Known Activations