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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. 8-RES-JB
    11. 10711
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    Explanations

    words related to actions or verbs that involve physical or concrete effects

    oai_token-act-pair · gpt-3.5-turbo

    actions related to management and regulation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ère
    -0.81
    eria
    -0.71
    si
    -0.71
    dt
    -0.70
    behind
    -0.69
    lihood
    -0.68
    ={
    -0.68
    tes
    -0.68
     complaining
    -0.67
    etheless
    -0.67
    POSITIVE LOGITS
     oneself
    0.84
    redients
    0.67
     unconventional
    0.64
     engagements
    0.63
    STON
    0.63
    olitical
    0.60
     peoples
    0.59
     straw
    0.59
     forks
    0.58
     undue
    0.58
    Activations Density 0.413%

    No Known Activations