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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. 0-RES-JB
    11. 15662
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    Explanations

    phrases related to measurements and evaluations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement or assessment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edd
    -0.69
     Toast
    -0.67
    que
    -0.66
    dom
    -0.65
     Robb
    -0.64
    urd
    -0.63
    urs
    -0.63
    ious
    -0.63
     authored
    -0.63
     corrupt
    -0.62
    POSITIVE LOGITS
     gauge
    4.24
     Gau
    2.70
     gau
    2.70
     meter
    1.38
     Meter
    1.31
     indicator
    1.22
    ometer
    1.17
     measure
    1.12
     measurement
    1.08
    ometers
    0.99
    Activations Density 0.013%

    No Known Activations