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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. 9099
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    Explanations

    words related to optics and optical devices

    oai_token-act-pair · gpt-3.5-turbo

    terms related to optical technology and fiber optics

    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
    hur
    -0.77
    lain
    -0.76
    enance
    -0.75
    ivas
    -0.74
    eem
    -0.74
    reddit
    -0.74
    ahime
    -0.74
    dule
    -0.74
    ership
    -0.74
    ivari
    -0.74
    POSITIVE LOGITS
     optical
    1.20
     illusions
    1.18
     cone
    1.05
     microsc
    1.03
     fibers
    1.02
     fibre
    1.00
     cones
    1.00
     fiber
    0.99
     illusion
    0.98
     magnification
    0.96
    Activations Density 0.012%

    No Known Activations