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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    phrases related to a specific person named "Escobar."

    oai_token-act-pair · gpt-3.5-turbo

    references to an individual named "Escobar."

    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
    ãĥĩãĤ£
    -1.03
    è»
    -0.75
    åĤ
    -0.75
     Taiwanese
    -0.74
    ãĥĥãĤ¯
    -0.73
    è£
    -0.72
    WARE
    -0.71
    姫
    -0.71
    Downloadha
    -0.68
    ãģ®éŃĶ
    -0.66
    POSITIVE LOGITS
    aped
    1.03
     Esc
    1.00
    apes
    0.99
    ribed
    0.96
    obar
    0.96
    Esc
    0.94
    uria
    0.90
    orts
    0.87
    enda
    0.87
    ucha
    0.87
    Activations Density 0.008%

    No Known Activations