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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. 6-RES-JB
    11. 12767
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    Explanations

    words related to construction, particularly buildings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of buildings and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nir
    -0.99
    CHAT
    -0.81
    geon
    -0.69
    sweet
    -0.69
    sha
    -0.68
    vous
    -0.67
    Consumer
    -0.66
    DOS
    -0.65
     Sturgeon
    -0.65
    dos
    -0.64
    POSITIVE LOGITS
     buildings
    1.12
     erected
    1.07
    raper
    1.03
     Buildings
    0.96
     skysc
    0.93
    hips
    0.91
     constructed
    0.87
     blocks
    0.87
    chool
    0.85
     crumble
    0.84
    Activations Density 0.057%

    No Known Activations