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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. 23842
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    Explanations

    Latin words or terms commonly used in education, such as "Biosciences"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the field of biosciences

    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
    ı
    -0.84
    à¨
    -0.79
    à©
    -0.74
    ĸļ
    -0.70
    rying
    -0.69
     quarters
    -0.68
    lished
    -0.67
     pains
    -0.64
    brance
    -0.64
    dry
    -0.63
    POSITIVE LOGITS
    aurus
    1.10
    clerosis
    1.05
    iac
    0.92
    omething
    0.88
    erver
    0.86
    ystem
    0.86
    pec
    0.85
    opot
    0.85
    ophical
    0.83
    daq
    0.82
    Activations Density 0.013%

    No Known Activations