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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. 7-RES-JB
    11. 8643
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    Explanations

    words related to foundational or fundamental concepts, especially in a root-like context

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "root" as it relates to causes or foundations of various issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    psey
    -0.85
    eers
    -0.82
    vernment
    -0.80
    cffff
    -0.79
    urches
    -0.78
    abwe
    -0.77
    essions
    -0.73
     disadvant
    -0.72
    zsche
    -0.72
    ques
    -0.71
    POSITIVE LOGITS
    beer
    0.87
    kit
    0.85
     Canal
    0.85
     canal
    0.82
     cellar
    0.80
    stock
    0.76
    arious
    0.74
     roots
    0.74
    ptr
    0.72
    root
    0.71
    Activations Density 0.020%

    No Known Activations