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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. 9925
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    INDEX
    Explanations

    mentions of commercial activities or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to commercial activities or industries

    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
    arios
    -0.78
    hov
    -0.76
    xual
    -0.76
    ologies
    -0.74
    alos
    -0.68
     Benedict
    -0.68
    etts
    -0.67
    essee
    -0.66
    Downloadha
    -0.65
    bite
    -0.65
    POSITIVE LOGITS
    ized
    1.24
    ization
    1.20
    izing
    1.08
    ised
    1.05
    izes
    1.01
     enterprises
    1.00
     airliner
    0.98
    ising
    0.97
    isation
    0.96
    ize
    0.95
    Activations Density 0.040%

    No Known Activations