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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. 8208
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    Explanations

    concepts related to microwaves, including the appliance and electromagnetic waves

    oai_token-act-pair · gpt-3.5-turbo

    references to microwave technology and its applications

    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
    xx
    -0.84
    ript
    -0.76
    idas
    -0.73
    unal
    -0.71
    nec
    -0.71
    abet
    -0.70
    ior
    -0.68
    hart
    -0.67
    umper
    -0.67
    ettings
    -0.66
    POSITIVE LOGITS
     oven
    1.30
     popcorn
    1.20
     microwave
    1.07
     microw
    1.02
     srfAttach
    0.83
     irrad
    0.82
     cavity
    0.80
     radiation
    0.80
     photons
    0.79
     buffet
    0.78
    Activations Density 0.009%

    No Known Activations