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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. 8-RES-JB
    11. 3229
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    Explanations

    numbers in specific contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the letter "j"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bleach
    -0.66
     Lauder
    -0.66
     bombard
    -0.66
     dispers
    -0.63
     Sheen
    -0.60
     MacArthur
    -0.60
     Ferr
    -0.59
     productive
    -0.59
     Huntington
    -0.59
     dictators
    -0.58
    POSITIVE LOGITS
    ournals
    1.45
    unction
    1.24
    ealous
    1.20
    acket
    1.18
    unal
    1.16
    utsu
    1.13
    ordan
    1.13
    itsu
    1.12
    ean
    1.11
    oint
    1.05
    Activations Density 0.032%

    No Known Activations