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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. 11736
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    Explanations

    words related to different time points and events in a sequential order

    oai_token-act-pair · gpt-3.5-turbo

    words related to the start and end of events or seasons

    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
    tein
    -0.73
     aliases
    -0.68
    ãĥĥãĤ¯
    -0.66
    obal
    -0.62
    çīĪ
    -0.62
    INST
    -0.61
    ãĥĩãĤ£
    -0.61
    actively
    -0.60
     pengu
    -0.59
    ãĥ³ãĤ¸
    -0.59
    POSITIVE LOGITS
    heet
    0.66
    nesota
    0.65
    iren
    0.63
    qqa
    0.63
     Dust
    0.60
     dwind
    0.59
     landfall
    0.59
    miah
    0.58
    .;
    0.57
     cris
    0.57
    Activations Density 0.174%

    No Known Activations