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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. 19315
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    Explanations

    phrases related to causes of events or conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to causes, particularly in the context of death and incidents

    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
    Pixel
    -0.80
     rooft
    -0.71
    ickr
    -0.70
    framework
    -0.69
    dm
    -0.65
    ometers
    -0.65
    isse
    -0.64
    auer
    -0.64
    ographers
    -0.64
     Courier
    -0.63
    POSITIVE LOGITS
     illness
    0.88
     blindness
    0.77
    ortium
    0.77
    ordinate
    0.73
     infertility
    0.72
     hostilities
    0.72
     outbreaks
    0.69
    thood
    0.68
     displacement
    0.68
     illnesses
    0.68
    Activations Density 0.107%

    No Known Activations