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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. 3-RES-JB
    11. 9047
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    Explanations

    phrases related to money or finances, especially focusing on pockets

    oai_token-act-pair · gpt-3.5-turbo

    references to "pockets," particularly in the context of wealth or resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ANGEL
    -0.89
    DEF
    -0.73
    =-=-=-=-
    -0.69
    CAST
    -0.68
     Relations
    -0.65
    DE
    -0.65
    KNOWN
    -0.65
    Cond
    -0.64
    ãģķ
    -0.63
    Det
    -0.62
    POSITIVE LOGITS
    pocket
    1.09
     pocket
    0.99
     pockets
    0.96
     pouch
    0.89
    pak
    0.82
    olars
    0.81
    lain
    0.79
    aucuses
    0.78
     lining
    0.78
    akra
    0.78
    Activations Density 0.010%

    No Known Activations