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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. 6642
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    Explanations

    phrases related to paving the way or making preparations for something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to creating opportunities or facilitating progress

    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
     dread
    -0.70
     timeout
    -0.69
    Host
    -0.69
    aton
    -0.68
    args
    -0.66
    itar
    -0.65
    MAX
    -0.64
     Sven
    -0.64
    eon
    -0.64
    Bot
    -0.63
    POSITIVE LOGITS
     paved
    2.96
     paving
    2.74
     pave
    2.73
     pavement
    2.09
     asphalt
    1.85
    prints
    1.35
     roadway
    1.28
    phalt
    1.28
    iewicz
    1.22
     Kod
    1.21
    Activations Density 0.024%

    No Known Activations