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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. 4-RES-JB
    11. 2641
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    Explanations

    written forms of communication, including inscribed, handwritten, scribbled, and graffiti messages

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to written or inscribed forms of communication

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

    No Comments

    Negative Logits
    kus
    -0.81
    Fal
    -0.72
    EStreamFrame
    -0.71
    Plug
    -0.69
    roxy
    -0.68
    asion
    -0.67
    idge
    -0.67
    nd
    -0.66
    unity
    -0.66
    Side
    -0.66
    POSITIVE LOGITS
     inscription
    1.15
    prints
    1.11
     handwritten
    1.08
     inscribed
    1.05
     letters
    1.02
     engraved
    1.00
     markings
    1.00
     handwriting
    0.99
     etched
    0.99
     graffiti
    0.97
    Activations Density 0.069%

    No Known Activations