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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. 17753
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    Explanations

    phrases related to processing information or food digestion

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the process of digestion

    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
     Investigator
    -0.68
     charism
    -0.63
    quartered
    -0.62
     promise
    -0.62
    senal
    -0.62
     manned
    -0.61
    mm
    -0.60
    alien
    -0.60
     Archangel
    -0.60
     falsely
    -0.59
    POSITIVE LOGITS
     digest
    1.19
    ible
    1.12
    ibility
    1.09
    ibles
    1.06
    ãĥ¼ãĥĨãĤ£
    0.98
    ãĥ³ãĤ¸
    0.92
    rition
    0.92
     Digest
    0.88
    imilation
    0.88
    rients
    0.85
    Activations Density 0.010%

    No Known Activations