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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. 2-RES-JB
    11. 3126
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    Explanations

    technical terms related to technology, such as "holograms," "antennas," and "neural arrays."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scientific or technical processes and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INAL
    -0.47
    OVA
    -0.43
    ãĥ¼ãĥĨ
    -0.41
     Falk
    -0.40
     Gulf
    -0.40
    ãĥ¼ãĥ³
    -0.40
    549
    -0.39
     Thing
    -0.39
    ļé
    -0.38
    æĢ
    -0.38
    POSITIVE LOGITS
    uggest
    0.78
    mith
    0.73
    paces
    0.73
    terness
    0.71
    hops
    0.70
    linger
    0.69
    ktop
    0.65
    hip
    0.64
    ongs
    0.63
    cape
    0.63
    Activations Density 1.222%

    No Known Activations