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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
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    Explanations

    phrases related to social interactions or activities involving meetings and greetings

    oai_token-act-pair · gpt-3.5-turbo

    phrases or words associated with greetings or meeting people

    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
     Bones
    -0.65
     fluor
    -0.63
     forks
    -0.63
     fork
    -0.62
     Ing
    -0.58
     Gears
    -0.58
     Cain
    -0.58
     steroids
    -0.58
     Super
    -0.58
     policy
    -0.56
    POSITIVE LOGITS
    reet
    4.92
    reetings
    1.52
    reen
    1.26
    rete
    1.20
    rees
    1.08
    ree
    1.07
    ooth
    1.04
     greet
    1.04
    ript
    1.00
    ossip
    0.97
    Activations Density 0.012%

    No Known Activations