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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. 4-RES-JB
    11. 2423
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    INDEX
    Explanations

    potential buyers and sellers in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to buyers and related market dynamics

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

    No Comments

    Negative Logits
     Nadu
    -0.71
     Wast
    -0.70
    apo
    -0.67
    OLOGY
    -0.67
     Veter
    -0.66
     Metatron
    -0.66
    ARY
    -0.66
    llular
    -0.65
    uality
    -0.64
     Cancer
    -0.63
    POSITIVE LOGITS
     beware
    1.12
     buyers
    0.98
     buyer
    0.88
     Beware
    0.80
     remorse
    0.79
     priced
    0.78
    IER
    0.76
     discounts
    0.74
     purchasing
    0.73
     buys
    0.71
    Activations Density 0.022%

    No Known Activations