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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 23949
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    Explanations

    comparisons or quantities pertaining to a higher number of something

    oai_token-act-pair · gpt-3.5-turbo

    quantitative expressions indicating larger quantities

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

    No Comments

    Negative Logits
    ĺħ
    -0.82
    xtap
    -0.80
    ode
    -0.74
    DER
    -0.70
    ÃŁ
    -0.69
    Fram
    -0.68
    imaru
    -0.67
    oes
    -0.66
    Gra
    -0.66
     [|
    -0.65
    POSITIVE LOGITS
     than
    1.25
     stringent
    1.08
     sophisticated
    0.97
     ado
    0.87
     diverse
    0.86
     extensive
    0.86
     elaborate
    0.85
     detailed
    0.85
     rigorous
    0.84
     frequent
    0.83
    Activations Density 0.149%

    No Known Activations