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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. 8-RES-JB
    11. 8146
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    Explanations

    phrases related to selling and business transactions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to selling and economic transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    INO
    -0.72
    omsky
    -0.68
    OSH
    -0.67
    orney
    -0.66
    ngth
    -0.66
    iration
    -0.65
    ARGET
    -0.61
    dding
    -0.60
    WORK
    -0.59
    getic
    -0.59
    POSITIVE LOGITS
     goods
    1.02
     tickets
    1.00
     commodities
    0.99
     surplus
    0.88
     cheaply
    0.87
     subscriptions
    0.85
     CDs
    0.85
     coupons
    0.85
     commodity
    0.84
     DVDs
    0.84
    Activations Density 0.145%

    No Known Activations