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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. 17579
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    Explanations

    mentions of optical technology

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to optical technology and optics

    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
    ivari
    -0.75
    lain
    -0.74
    20439
    -0.74
    Rich
    -0.74
    hur
    -0.73
    rieg
    -0.73
    ivas
    -0.73
    dule
    -0.72
    CVE
    -0.71
     Kut
    -0.71
    POSITIVE LOGITS
     optical
    1.25
     illusions
    1.14
     cone
    1.01
     microsc
    1.01
     satell
    0.98
     Optical
    0.98
     cones
    0.97
     illusion
    0.95
     fibre
    0.95
     neur
    0.94
    Activations Density 0.010%

    No Known Activations