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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. 9-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to commodities and their markets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ealous
    -0.77
    ĪĴ
    -0.71
    urat
    -0.69
    yip
    -0.69
    xual
    -0.68
    rious
    -0.68
    clusion
    -0.67
    natureconservancy
    -0.65
    ¶ħ
    -0.64
    perture
    -0.63
    POSITIVE LOGITS
     goods
    1.23
     products
    1.15
     commodities
    1.07
     licences
    1.07
     supplies
    1.02
     cheaply
    1.01
     domestically
    1.01
     services
    0.97
     priced
    0.96
     subscriptions
    0.93
    Activations Density 0.442%

    No Known Activations