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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 19795
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    Explanations

    words related to policies or actions taken in different sectors

    oai_token-act-pair · gpt-3.5-turbo

    articles and determiners in various contexts

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

    No Comments

    Negative Logits
    Contents
    -0.79
    âĿ
    -0.75
    Arcade
    -0.72
    !/
    -0.72
    Edit
    -0.72
    coins
    -0.71
    Own
    -0.71
    !!!!
    -0.71
    Links
    -0.71
    items
    -0.70
    POSITIVE LOGITS
    rouse
    1.21
     plethora
    1.14
     multitude
    1.05
     lot
    1.05
     sizeable
    1.05
     handful
    1.02
    usterity
    1.01
     sizable
    1.01
     bunch
    1.01
     broader
    1.00
    Activations Density 1.053%

    No Known Activations