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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. 20516
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    Explanations

    words related to measurements and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    the word "cal" and its various forms within the context of measurements or descriptors

    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
     Hutch
    -0.76
     NGOs
    -0.67
     DK
    -0.67
     Jung
    -0.66
     Host
    -0.66
     Rapp
    -0.65
     blanket
    -0.65
     whistleblowers
    -0.65
     bumper
    -0.65
     Ukrain
    -0.63
    POSITIVE LOGITS
    cal
    4.44
    Cal
    2.20
     cal
    1.65
     Cal
    1.57
     CAL
    1.51
    cus
    1.36
    cle
    1.14
     recal
    1.14
     calcul
    1.14
    carb
    1.13
    Activations Density 0.008%

    No Known Activations