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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. 1-RES-JB
    11. 16195
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    Explanations

    words related to optical technology and equipment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to optical technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kw
    -0.74
    Rich
    -0.74
    Maria
    -0.73
     Kut
    -0.72
    avan
    -0.72
    qs
    -0.72
    hur
    -0.71
    dule
    -0.70
    rieg
    -0.70
    ivari
    -0.70
    POSITIVE LOGITS
     optical
    1.41
     illusions
    1.12
     Optical
    1.10
     microsc
    1.01
     cone
    1.00
     satell
    0.98
     fibre
    0.98
     magnification
    0.96
     fiber
    0.93
     optics
    0.93
    Activations Density 0.009%

    No Known Activations