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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. 1-RES-JB
    11. 1977
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    Explanations

    phrases related to specific locations or entities, particularly the phrase "bas" within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    the word "Bas" in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Oaks
    -0.71
     Aut
    -0.64
     Destroyer
    -0.62
     spect
    -0.60
     Peninsula
    -0.59
     Preview
    -0.59
     preview
    -0.59
     opt
    -0.58
     aut
    -0.58
     Toll
    -0.58
    POSITIVE LOGITS
    bas
    1.24
    sembly
    1.15
    ibi
    1.04
    thood
    1.02
    cham
    0.93
    ciating
    0.91
    ilib
    0.91
    MpServer
    0.90
    hemy
    0.90
    achev
    0.88
    Activations Density 0.007%

    No Known Activations