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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. 2-RES-JB
    11. 15408
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    Explanations

    keywords related to surveillance and monitoring, specifically the term "watchdogs"

    oai_token-act-pair · gpt-3.5-turbo

    references to dogs or dog-related themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icides
    -0.91
    itent
    -0.74
    erva
    -0.73
    activated
    -0.72
    imar
    -0.71
    IDES
    -0.70
    icide
    -0.69
    umatic
    -0.68
    ibel
    -0.68
    istic
    -0.67
    POSITIVE LOGITS
    dog
    1.23
    dogs
    1.19
    bowl
    0.96
    ertodd
    0.93
    ĪĴ
    0.89
    loo
    0.89
     Nest
    0.79
    MpServer
    0.76
    Dog
    0.74
    rand
    0.73
    Activations Density 0.015%

    No Known Activations