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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. 1-RES-JB
    11. 21717
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    Explanations

    names of individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Lis" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Immunity
    -0.73
     seizure
    -0.72
     Debor
    -0.70
     Seeking
    -0.66
     conscious
    -0.64
     confidentiality
    -0.61
     implications
    -0.60
    ħĭ
    -0.60
     consequences
    -0.59
     scheduling
    -0.59
    POSITIVE LOGITS
    utenant
    1.18
    berger
    1.09
    lis
    1.05
    hei
    0.98
    terness
    0.97
    backer
    0.95
    pora
    0.93
    umi
    0.93
    abi
    0.92
    uten
    0.92
    Activations Density 0.006%

    No Known Activations