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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. 8795
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    Explanations

    terms related to structural aspects or properties

    oai_token-act-pair · gpt-3.5-turbo

    references to structural concepts or integrity

    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
    yah
    -0.83
    zig
    -0.78
     Furious
    -0.76
    kin
    -0.75
    hood
    -0.74
    cart
    -0.71
    nery
    -0.71
     Carbuncle
    -0.71
    DN
    -0.70
    rov
    -0.69
    POSITIVE LOGITS
     integrity
    0.99
     structural
    0.94
     pillars
    0.93
     components
    0.92
    urally
    0.91
     elements
    0.91
     structures
    0.90
    ural
    0.86
     inertia
    0.85
     disadvantages
    0.85
    Activations Density 0.009%

    No Known Activations