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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    words related to sports teams and events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Sporting" and related terms in a sports context

    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
    inventoryQuantity
    -0.79
    onym
    -0.78
    upon
    -0.72
    pour
    -0.66
    zers
    -0.66
    umbn
    -0.65
    andel
    -0.64
    inoa
    -0.63
    ipolar
    -0.63
    onyms
    -0.63
    POSITIVE LOGITS
     Sporting
    1.24
     KC
    0.96
    folios
    0.96
    KC
    0.93
    ocity
    0.93
     Kansas
    0.85
     Goods
    0.82
    folio
    0.79
     Reflex
    0.78
     Rica
    0.78
    Activations Density 0.004%

    No Known Activations