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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. 6-RES-JB
    11. 2782
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    Explanations

    the word "make" in various contexts and tenses

    oai_token-act-pair · gpt-3.5-turbo

    words related to the act of making or creating

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heter
    -0.61
    ---------
    -0.61
     ILCS
    -0.60
    assis
    -0.60
     Vest
    -0.58
     Mub
    -0.57
    bour
    -0.57
     reigning
    -0.56
    iberal
    -0.55
    den
    -0.55
    POSITIVE LOGITS
     sure
    1.11
    hift
    0.95
    ÄŁ
    0.78
    netflix
    0.76
    URE
    0.75
    zie
    0.73
    otype
    0.73
    escape
    0.72
    roid
    0.72
    ä½ľ
    0.71
    Activations Density 0.156%

    No Known Activations