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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. 7-RES-JB
    11. 22645
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    Explanations

    terms related to the element 'tin'

    oai_token-act-pair · gpt-3.5-turbo

    references to "tin" or tin-related items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.85
    iscopal
    -0.73
     Seym
    -0.69
    ĵĺ
    -0.65
     Parish
    -0.65
    inctions
    -0.63
     [+]
    -0.60
     compr
    -0.59
     resc
    -0.59
     redund
    -0.59
    POSITIVE LOGITS
    ned
    1.35
    ning
    1.04
    ners
    1.03
    jin
    1.02
    sel
    1.00
    jiang
    1.00
    kered
    0.99
    flation
    0.98
    hua
    0.98
    atown
    0.97
    Activations Density 0.063%

    No Known Activations