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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. 10108
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    Explanations

    specific mentions of the word "Grey" with various spellings

    oai_token-act-pair · gpt-3.5-turbo

    references to "Greyhound," specifically in the context of transport and related topics

    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
    ̶
    -0.81
    itia
    -0.80
    itu
    -0.79
    etsk
    -0.75
    rophe
    -0.74
    ugal
    -0.73
    urity
    -0.71
    ilities
    -0.71
    ����
    -0.71
    ctive
    -0.71
    POSITIVE LOGITS
    hound
    1.37
    hawk
    0.95
    joy
    0.91
    berry
    0.89
     Goose
    0.81
    washing
    0.81
     Grey
    0.81
    Grey
    0.80
    croft
    0.78
     wolves
    0.77
    Activations Density 0.005%

    No Known Activations