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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. 2-RES-JB
    11. 5760
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    Explanations

    words related to physical locations or actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of food or culinary terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DRAG
    -0.77
    catentry
    -0.69
    ForgeModLoader
    -0.64
     licens
    -0.59
     stunt
    -0.58
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.58
    minecraft
    -0.57
     start
    -0.57
    SpaceEngineers
    -0.57
     vide
    -0.56
    POSITIVE LOGITS
    leon
    0.89
    nai
    0.89
    hei
    0.89
    anism
    0.87
    lain
    0.83
    ulhu
    0.82
    anooga
    0.82
    olla
    0.77
    opter
    0.77
    esy
    0.76
    Activations Density 0.162%

    No Known Activations