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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. 6-RES-JB
    11. 15296
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    Explanations

    phrases related to the purpose or objective of a particular action or entity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate purpose or aim

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ashtra
    -0.79
    thur
    -0.75
    pter
    -0.70
    rimp
    -0.69
    rums
    -0.68
    grain
    -0.67
    mount
    -0.65
    lv
    -0.65
    rim
    -0.64
    edge
    -0.64
    POSITIVE LOGITS
     communicating
    0.71
     constructing
    0.71
    unin
    0.70
     referen
    0.69
    blance
    0.69
     photograp
    0.67
     endeavor
    0.66
     electing
    0.66
     avoiding
    0.66
     executing
    0.66
    Activations Density 0.125%

    No Known Activations