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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. 16805
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    INDEX
    Explanations

    mention of completed tasks or completion indicators

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to actions that involve checking off items or boxes

    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
    ocally
    -0.73
     ILCS
    -0.65
    ãĥ´ãĤ¡
    -0.65
    MpServer
    -0.63
    éĹĺ
    -0.62
    ufact
    -0.61
    ãĤ£
    -0.61
    ¬¼
    -0.61
    uthor
    -0.60
    pha
    -0.60
    POSITIVE LOGITS
    lish
    1.08
    ety
    0.97
    ering
    0.93
     tick
    0.92
    lers
    0.92
    leness
    0.90
    eworthy
    0.89
    ypes
    0.86
    tick
    0.86
    ched
    0.85
    Activations Density 0.009%

    No Known Activations