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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. 7-RES-JB
    11. 18052
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    Explanations

    words related to political or social controversy, particularly surrounding the concept of sanctuary cities and apartheid

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "sanctuary" and "apartheid" within the context of immigration policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ī
    -0.81
    ndra
    -0.80
    raq
    -0.80
    endar
    -0.75
    ential
    -0.75
    beit
    -0.75
    onel
    -0.75
    ppo
    -0.73
    arettes
    -0.73
    ional
    -0.73
    POSITIVE LOGITS
     Nieto
    0.76
    éļ
    0.73
     PARK
    0.72
    OTUS
    0.66
    Charl
    0.65
    ctuary
    0.64
    ity
    0.62
     QUEST
    0.61
    itect
    0.60
    iscopal
    0.58
    Activations Density 0.092%

    No Known Activations