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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. 20697
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    Explanations

    words related to trade and goods

    oai_token-act-pair · gpt-3.5-turbo

    references to "goods" and their flow or trade

    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
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    No Comments

    Negative Logits
     recess
    -0.71
     dent
    -0.69
    ODE
    -0.67
     solitary
    -0.63
     Peninsula
    -0.63
     Span
    -0.58
     Pilot
    -0.58
     Shore
    -0.57
     crest
    -0.56
    WD
    -0.56
    POSITIVE LOGITS
     goods
    1.21
    loads
    0.95
     Goods
    0.92
    chwitz
    0.85
    hops
    0.84
    ysc
    0.83
    ModLoader
    0.82
    vertisement
    0.81
     recip
    0.79
    bringer
    0.78
    Activations Density 0.009%

    No Known Activations