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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. 3-RES-JB
    11. 418
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    INDEX
    Explanations

    specific phrases such as "Declaration", "game", "economy", "extract", "letter", and "interview"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific documents or instances being discussed

    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
    onto
    -0.75
     outweigh
    -0.71
     someday
    -0.69
    products
    -0.63
     dolphins
    -0.62
    ores
    -0.62
    cause
    -0.60
    abilia
    -0.60
    ourge
    -0.59
     whoever
    -0.59
    POSITIVE LOGITS
     nutshell
    0.98
     meantime
    0.79
     meanwhile
    0.76
     context
    0.71
     guise
    0.70
     absence
    0.68
     mode
    0.67
    idav
    0.65
    VIEW
    0.64
    Ĥİ
    0.63
    Activations Density 0.513%

    No Known Activations