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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. 7460
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    Explanations

    information related to the place of manufacturing

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "made in" followed by a location

    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
    Bey
    -0.78
    arers
    -0.77
     rightfully
    -0.76
    vous
    -0.74
    idepress
    -0.72
    rants
    -0.68
    yip
    -0.68
     Visitors
    -0.68
    isSpecialOrderable
    -0.66
    dom
    -0.66
    POSITIVE LOGITS
     accordance
    0.88
     haste
    0.85
     conjunction
    0.79
     situ
    0.79
     resin
    0.77
     meticulous
    0.76
    alter
    0.75
     scratch
    0.75
    organic
    0.75
     vitro
    0.72
    Activations Density 0.187%

    No Known Activations