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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. 1-RES-JB
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    Explanations

    the word 'Mos' with different variations and contexts

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Mos" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æĺ¯
    -0.77
    ordinate
    -0.75
    ISM
    -0.72
    DragonMagazine
    -0.71
    ACTED
    -0.70
    flush
    -0.68
    osterone
    -0.68
    Accessory
    -0.68
    imates
    -0.67
    ECD
    -0.66
    POSITIVE LOGITS
     Mos
    1.00
     mosqu
    0.93
    Mos
    0.87
    bat
    0.84
    chal
    0.83
    creen
    0.81
    quit
    0.80
    illion
    0.78
    fet
    0.78
    mos
    0.77
    Activations Density 0.006%

    No Known Activations