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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. 23047
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    Explanations

    phrases related to time and events occurring after specific periods

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating time elapsed or duration following events

    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
    uci
    -0.78
    =-=-=-=-=-=-=-=-
    -0.76
    nce
    -0.73
    ac
    -0.72
    cin
    -0.71
    uv
    -0.71
    aez
    -0.71
    ctive
    -0.71
    ãĤ¤ãĥĪ
    -0.70
    ace
    -0.70
    POSITIVE LOGITS
     completing
    0.97
     completion
    0.91
     quitting
    0.82
     encountering
    0.82
     graduation
    0.82
     arriving
    0.81
     graduating
    0.81
     announcing
    0.80
     retiring
    0.79
     receipt
    0.79
    Activations Density 0.049%

    No Known Activations