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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. 11-RES-JB
    11. 20394
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    Explanations

    words related to items that are processed or transformed into something else

    oai_token-act-pair · gpt-3.5-turbo

    references to future events and expected outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     emphasizing
    -0.68
     emphasizes
    -0.63
    SOURCE
    -0.63
    SourceFile
    -0.62
     Intervention
    -0.62
     injecting
    -0.61
     imposing
    -0.61
     mindful
    -0.60
     Respons
    -0.59
    cffffcc
    -0.59
    POSITIVE LOGITS
     fetch
    1.10
     expire
    1.08
     circulate
    1.07
     langu
    1.07
     belonged
    1.06
     belong
    1.00
     disappear
    0.95
     vanish
    0.95
     undergo
    0.94
     arrive
    0.93
    Activations Density 0.313%

    No Known Activations