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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. 9189
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    Explanations

    terms related to the field of econometrics

    oai_token-act-pair · gpt-3.5-turbo

    references to "comet" terminology in scientific discourse

    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
    cloth
    -0.68
     reserve
    -0.67
    caps
    -0.65
    context
    -0.65
     hearing
    -0.64
    selection
    -0.64
     protective
    -0.63
    adder
    -0.61
     situ
    -0.61
    Reply
    -0.57
    POSITIVE LOGITS
    imet
    1.14
    rics
    1.10
    allic
    1.09
    rium
    0.97
    omet
    0.97
    ool
    0.92
    atars
    0.89
    rial
    0.88
    rix
    0.87
    abolic
    0.85
    Activations Density 0.007%

    No Known Activations