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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
    11. 5402
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    Explanations

    mentions of the specific word "Mach" with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Mach

    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
     Citizens
    -0.69
    0000000000000000
    -0.65
     Sony
    -0.64
    mary
    -0.64
    bucks
    -0.63
    idency
    -0.62
    OHN
    -0.62
     Physicians
    -0.62
    Express
    -0.62
     Vive
    -0.61
    POSITIVE LOGITS
     Mach
    1.16
    inery
    1.15
    Mach
    1.14
     mathemat
    0.87
     corrid
    0.80
    inations
    0.79
    ineries
    0.77
     mach
    0.74
     Seym
    0.72
    uria
    0.71
    Activations Density 0.009%

    No Known Activations