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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. 10-RES-JB
    11. 5598
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    Explanations

    the name "Rou" with varying levels of activation, suggesting a possible focus on detecting specific textual elements like names

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "row" or "rou."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ORE
    -0.71
    ãĥ¼ãĥĨãĤ£
    -0.61
    ENC
    -0.59
    ORED
    -0.58
     killer
    -0.58
    UNCH
    -0.58
    uality
    -0.57
    ULT
    -0.57
    maxwell
    -0.56
     Predator
    -0.56
    POSITIVE LOGITS
    bles
    1.29
    lette
    1.18
    bled
    1.08
    ser
    1.07
    ble
    1.01
    gue
    1.00
    bad
    0.99
    bling
    0.98
    pees
    0.96
    hou
    0.95
    Activations Density 0.033%

    No Known Activations