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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. 3-RES-JB
    11. 4799
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    Explanations

    names of various individuals or places

    oai_token-act-pair · gpt-3.5-turbo

    names of people, places, or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )=(
    -0.62
    uyomi
    -0.62
    ģĸ
    -0.62
    anwhile
    -0.54
    ħĭ
    -0.53
    jriwal
    -0.52
    pherd
    -0.51
    sembly
    -0.51
    cffffcc
    -0.51
    llor
    -0.50
    POSITIVE LOGITS
    ona
    0.62
     Street
    0.60
    fest
    0.55
    ont
    0.53
    ville
    0.52
    etta
    0.51
    ogs
    0.51
    NW
    0.51
    eni
    0.50
    eland
    0.50
    Activations Density 1.084%

    No Known Activations